#power bi developer mode

[ibarrau]

[PowerBi] Integración con AzureDevOps Git Repos

El lanzamiento de Power Bi Developer Mode durante el evento Microsoft Build está causando gran revuelo no solo por su posibilidad resguardar un proyecto de PowerBi sino también porque por primera vez tendríamos la posibilidad de que dos o más usuarios trabajen en un mismo proyecto. Esto no es trabajo concurrente instantáneo como Word Online sino más bien cada quien modificando los mismos archivos de un repositorio y logrando integrarlos al final del día.

La deuda de versionado y trabajo en equipo finalmente estaría cumplida. Según uno de los personajes más importantes del equipo, Rui Romano, aún hay mucho por hacer. Veamos que nos depara esta característica por el momento. 

Vamos a iniciar asumiendo que el lector tiene un conocimiento básico de repositorios. Entienden que en un repositorio se almacenan versiones de archivos. Se pueden crear ramas/branches por persona que permita modificar archivos y luego se puedan integrar/merge para dejar una versión completa y definitiva.

Todo esto es posible gracias a la nueva característica de Power Bi Desktop que nos permite guardar como proyecto. Esto dividirá nuestro pbix en dos carpetas y un archivo:

Carpeta de <nombre del archivo>.Dataset: Una colección de archivos y carpetas que representan un conjunto de datos de Power BI. Contiene algunos de los archivos más importantes en los que es probable que trabajes, como model.bim.

Carpeta de <nombre del archivo>.Report: Una colección de archivos y carpetas que representan un informe de Power BI. El archivo más importante es "report.json", aunque durante la vista previa no se admiten modificaciones externas en este archivo.

Archivo <nombre del archivo>.pbip: El archivo PBIP contiene un enlace a una carpeta de informe. Al abrir un archivo PBIP, se abre el informe en  Power Bi Desktop y el modelo correspondiente.

Entorno

Lo primero es configurar y determinar nuestro entorno para poder vincular las herramientas. Necesitamos una cuenta en Azure DevOps y un workspace con capacidad en Power Bi Service. Para que la integración sea permitida necesitamos asegurarnos que nuestra capacidad y la de la Organización de Azure DevOps estén en la misma región. 

La región de una organización de Azure DevOps puede ser elegida al crearla, al igual que podemos elegir la región de una capacidad cuando creamos una premium, embedded o fabric.

En caso de utilizar capacidad PowerBi Premium Per User o Fabric Trial, no podríamos elegir la región. Sin embargo, podríamos revisar la región de nuestro PowerBi para elegir la misma en Azure DevOps

En ese caso creamos la organización de DevOps igual que nuestro PowerBi porque haremos el ejemplo con un workspace PPU.

Seteo

Dentro de Power Bi Service y el Área de trabajo con capacidad que queremos versionar iremos a la configuración. Con la misma cuenta de ambos entornos completaremos los valores de organización, proyecto, repositorio, rama y carpeta (opcional).

Como nuestro repositorio esta vacío, lo primero que sucederá cuando conectemos será una sincronización de todos los items del área de trabajo en el repositorio. Ahora bien, si teníamos reportes en el repositorio y en el area,  tendremos un paso más para coordinar la operación deseada si pisar o integrar.

Una vez que todo tenga tilde verde y esté sincronizado, podremos ver como queda el repositorio.

En caso que ya tuvieramos informes cuando inicio el proceso, se crearán carpetas pero no el archivo .pbip que nos permitiría abrirlo con Power Bi Desktop.

Si crearamos el informe con Power Bi Desktop y eligieramos “Guardar como proyecto” si se crearía. Entonces podríamos hacer un commit al repositorio y automáticamente se publicaría en nuestra área de trabajo.

El archivo pbip es un archivo de texto. Podemos abrirlo con un bloc de notas para conocer como se constituye para generarlo en caso que necesitemos abrir con Desktop uno de los informes que sincronizamos antes. Ejemplo del archivo:

Al tener sincronizado el repositorio con el workspace podemos usar un entorno local. Si está en el repositorio en la rama principal, entonces estará publicado en el área de trabajo. Veamos como sería el proceso.

Esta sincronización también nos favorece en el proceso de Integración y Deploy continuo puesto que varios desarrolladores podrían tener una rama modificada y al integrarlo con la principal delimitada en el área de trabajo tendríamos automáticamente todo deployado.

Si algo no se encuentra en su última versión o hacemos modificaciones en línea, podemos acceder al menú de source control que nos ayudaría a mantener ordenadas las versiones.

Alternativa Pro

Con las nuevas actualizaciones de Fabric en agosto 2023, podremos por primera vez, trabajar en equipo en PowerBi sin licencia por capacidad o premium. Guardar como proyecto es una característica de PowerBi Desktop. Por lo tanto, podemos usarla contra un repositorio Git en cualquier tecnología. Al termino del desarrollo, una persona encargada debería abrir el PBIP y publicarlo al área pertinente. Ahora podemos publicar desde Desktop los informes guardados como proyectos. Esto nos permite que los casos de puras licencias pro puedan aprovechar las características de histórico y control de versiones. Quedará pendiente la automatización para deploy e integración que aún no podría resolverse solo con PRO.

Conclusión

Esta nueva característica nos trae una práctica indispensable para el desarrollo. Algo que era necesario hace tiempo. Sería muy prudente usarlo aún en proyectos que no modifiquen un informe al mismo tiempo puesto que ganamos una gran capacidad en lo que refiere a control de versiones.

Si no tenemos capacidad dedicada, deberíamos trabajar como vimos en post anteriores sobre metodología de integración continua de repositorio https://blog.ladataweb.com.ar/post/717491367944781824/simplepbicd-auto-deploy-informes-de-powerbi

Esperemos que pronto tengamos una opción para importar por API estos proyectos al PowerBi Service para poder idear nuestros propios procesos sin usar las integraciones por defecto sino una personalizada a nuestro gusto.

[daxite]

yeah i think i've fully come to terms with the fact that i'm 100% somewhere on the ace spectrum lol

[bunniekittiee]

Hello ! Hope you're doing well! I really loved your headcanons of Bi-han's S/O relationship with his brothers it was so cute ❤ I'm curious what you think the relationship becomes if you take in account the story mode events ( Bihan's "betrayal ") because I'm sure s/o would stik by her husband and support him so how those three interact afterward? Thanks ~

Hi! I am doing okay, I hope you are doing well too! Y’all are so nice here woo hoo

I will answer this in headcanons. Bi-Han x Fem. Reader by the way! Also kind of a little sad :(

Finding out what Bi-Han had done was like a knife to the heart.

She was so close to his brothers that they were her own, as they too viewed her as a sister.

She was definitely distraught knowing that her family was ripping itself apart.

But, she could not just leave Bi-Han. She had married him, but she also married the Lin Kuei when she said her vows.

Leaving him would only result in more anguish.

She would have to support Bi-Han’s decision either way, even if she had her doubts or believed that he was actually losing his sanity.

Bi-Han never fully discussed all the details, but he would tell her the big important ones such as the development of the Cyber Initiative and how they were close to overpowering the Shirai Ryu.

It pained her greatly, but she would smile and congratulate Bi-Han on his success. That was all she could do unfortunately as arguing with Bi-Han about his betrayal was like speaking to a brick wall.

Bi-Han believes that his brothers have betrayed him rather than the other way around. He is delusional lol.

He is blinded by his own anger and thirst for power.

It is argued whether he truly wants to kill his brothers or just wants them to stand down and let the Lin Kuei thrive.

Sometimes, she is never so sure if he really wants to kill his brothers in cold blood. In his eyes, she can see the glimmer of murderous intent, but then it will form into something else.

Like he had lost something important to him.

It was definitely arguable. She had hoped that Bi-Han would never be that cruel.

She could not bear to see any harm come to Kuai Liang and Tomas.

If she somehow ever came across them, whether it was at an event or some different way, she would feel like crying.

She would hug her boys close.

They would hug her back, joyful to be reunited with her.

They know she is not to be enemies with as their fight is with Bi-Han, not his wife.

Even though Bi-Han has stated that family is not off limits in their war, Kuai Liang cannot bring himself to harm her, nor can Tomas.

They know how much she means to Bi-Han, and he would go to the depths of the Netherrealm to protect her.

When those three reunite, it is usually quick as they cannot stay long. If Sektor or Cyrax were to catch a glimpse of them, they would be in trouble.

The brothers understand that she has to support Bi-Han no matter what, yet sometimes they feel that she is not trying enough to reason with him.

But again, they understand that reasoning with Bi-Han is something that cannot be achievable.

Once he is passionate and confident in something, he will continue to pursue it.

Just like he is passionate about overthrowing the Shirai Ryu and teaching his brothers a lesson.

Bi-Han hardly lets her leave the premises. He does not trust soldiers to go with her, and he does not have his brothers.

So only Sektor or Cyrax are really supposed to go with her, sometimes both of them will go with.

They are nothing like Kuai and Tomas though, which saddens her.

They have different personalities, and they put on the soldier face to prevent others from attempting to mess with them.

It is mainly for intimidation. That was something Kuai and Tomas hardly ever did unless it was truly needed.

Trips with Sektor and Cyrax are quick and usually not that fun. They are disconnected from her as they do not want attachments to the Grandmaster’s wife.

Supporting Bi-Han may be difficult in this because her loyalty also stands with his brothers, but since Bi-Han exiled them from ever being mentioned, her loyalties were forced to change.

She had to fully be loyal to Bi-Han and support his decisions. Just as Sektor and Cyrax supported them.

They were almost like the “replacements” for Kuai Liang and Tomas. That’s what Bi-Han tried to show her by sending them with her when she needed a break from the Arctika.

Replacements that were never going to fulfill the places of the brothers.

She dearly misses them. She does not have much contact with them and she thinks about them often.

She thinks about her old life often, truthfully.

If Bi-Han had a change of heart, they could be reunited and happy like they once were.

Kuai Liang and Tomas give her the offer of staying with the Shirai Ryu, even though they both know Bi-Han would rip the realms apart for her.

If she is too scared of Bi-Han or he is doing worse things, they want to make sure that the door is open for her.

She can be part of their clan and live a happier life. One that is not full of darkness and evil.

But they do not pressure her or try convincing her because deep down, they know that her place is with the Lin Kuei.

She is shackled by them, she will never be able to leave unless in death.

[evilbihan]

Kuai Liang headcanon

Hello, fandom demons, may I interest you in a Kuai Liang headcanon today?

I headcanon MK1 Kuai Liang to have a chronic heart condition that he was either born with or developed over time out of grief after his father's death and his falling out with Bi-Han. Kuai Liang is a very hot-headed person and I feel like his anger, hatred and need for vengeance would eventually take a physical tall on him.

I also think the condition could potentially be a side effect of his pyromancy. We know that he wasn't born with his powers. How he obtained them is, according to him, a well-kept family secret. @inflamedrosenkranz wrote a very interesting theory about how Kuai Liang might have received his pyromancy in this timeline that I would recommend everyone to read. But to get back to my point, Kuai Liang having fire powers instead of ice powers like Bi-Han who was born a cryomancer is definitely unnatural and could come with unforseen consequences.

Another thing that inspired this headcanon were some of the invasion mode nodes from older seasons that I've encountered. Those nodes featuring fights against Scorpion would often talk about heartache, the two most memorable ones being "aching heart" and "inner pain", the latter being located on the fire temple mesa during season 4.

In an intro with Quan Chi, the sorcerer also claims to know all of Kuai Liang's weaknesses. Plural. Harumi doesn't seem to be Kuai Liang's only weakness and since Quan Chi was apparently told about Kuai Liang's weaknesses by Bi-Han it would make sense that he would know of his brother's condition and forward that information to his allies.

In another intro between Bi-Han and Kitana, it's also said that Bi-Han (his decision to not save his father along with him abandoning tradition) broke Kuai Liang's heart. His heart is often brought up in the game for some reason, which of course, doesn't have to mean anything, but it's still interesting to think about.

[kassiekole22]

My Thoughts On The MK1 Story Mode

Ok! So I wanted to wait to post my thoughts on the game until after it released, so now that it is, I'm gonna spill my thoughts on all the characters!

Starting with the Earthrealmers!

Liu Kang: I LOVE his new design and I love him as a God even more than I expected! Also, him and Kitana reuniting?! AHHHHHHHHH!!! I legit had tears in my eyes when they kissed! It was such a bittersweet moment and I hope we get more of them together in the future. I'm so happy that he got his power as titan back because it just seems more right. Giving it up seemed kinda wrong. So I'm hoping it stays like that.

Raiden: He's SUCH a sweetheart and I adore him! I was surprised that Kung Lao wasn't his champion but I guess it's understandable, since he still seems in over his head. 😂 But I am very happy that he got to be champion instead. And I was SO surprised to see the old Raiden model make a return as well! I'm glad they didn't change him because that would've made no sense. 😅

Kung Lao: Ah, what can I say about good ol' Kung Lao? I honestly loved him a lot more in this game than any of the others. He seemed to have a lot more comedy moments in this one, which I really loved. I literally almost died laughing when he burped in front of General Shao and Reiko and disgusted them. 🤣

Johnny: Funny? Check! Smart ass? Check! Self-absorbed? Check! Literally the same Johnny as before and I love that! I loved his friendship development with Kenshi and it was truly something I never knew I needed. And also, him filming with his phone 90% of the time was so fucking funny and him somehow owning Cassie's drone was oddly heartwarming. 🩷

Kenshi: I knew Mileena was going to blind him in that scene! I was so sad that it happened again, despite expecting it. When he asked Baraka to tell him about his life to take his mind off of the pain, my heart broke for him. 🥺 But him discovering Sento has powers to help him was so cool to watch! I really love how they did his story in this game. And again, he and Johnny were a duo I never knew I needed.

Sub-Zero: I don't know whether I love this guy or hate him! 🤣 Honestly, his grumpy attitude makes me want to bug the shit out of him and piss him off more. 😂 And I'm not sure if he ever smiles. But it is so interesting to see Bi-Han as Sub-Zero again and I am quite happy with the results. That doesn't mean I forgive him for what he did though. 😑

Scorpion: When I heard that Bi-Han was Sub-Zero, I was worried that Kuai Laing wouldn't be coming back. So I'm happy to see him back again. But I still don't know how I feel about him replacing Hanzo. Honestly, Hanzo will always be Scorpion to me. I was upset to see that he lived a hard life on the streets before Smoke found him. At least if Hanzo wasn't Scorpion anymore, give him a good and happy life. 🥺 But I feel like Kuai Laing should be his own character. Maybe I'll whip up a name and design for him later. And also, Kuai Laing is married to Harumi?! What the fuck?!

Smoke: I did not expect him to be as sweet as he is! Like, what?! He had been through so much it makes my heart hurt! And the way Bi-Han treated him made me so sad! I'm glad that he at least has Kuai Laing to be a big brother figure to him still. Because after all, where there's smoke, there's fire. 🧡🩶

Syzoth: What a fucking cinnamon roll! Seriously! I was PRAYING he would be a good guy and not some villan's henchman again and I got exactly what I wanted and more! I already knew about his family being captured, but I had no idea it was his wife and son! He is literally this timeline's Scorpion and it breaks my heart! 🥺 At least he had a better outcome though. I hope we get to see more of him like this in the future. Also, I knew him and Baraka would be friends but I had no clue they had so much in common! Another duo I never knew I needed!

Baraka: I never thought I'd actually like Baraka, let alone feel so sorry for him! Tarkatans are diseased people? Seriously?! What the FUCK, Liu Kang?! 😭 I'd still bet money on that man who attacks Shang Tsung in the beginning being Baraka. It just all adds up. Shang mentioned his potion being able to treat tarkat and then he shows up, amgry that he lied about it being able to cure his daughter? Ok, TOTALLY him! But maybe he can help Syzoth through his grief of his dead wife and son and they can tackle Shang Tsung together once Mileena doesn't need him anymore?

Ashrah: She is literally such an angel! Fun fact about me: I used to be an Ashrah main when I would play Armageddon when I was a kid. 🤭 I hated her new design at first but now I love it! And that easter egg about her hat was perfect! 😂 Also, I didn't expect to like her personality nearly as much as she did. I mean, when Johnny told her that she is welcome to join them in Earthrealm and she said "I've never had a home. That would be wonderful." my heart literally fucking melted! 🥺💖

Sindel: We FINALLY get good Sindel back and they take her away?! WHY?! 😭 Was I the only one who actually cried when she died? Like, they made her so likable in this game. *Sighs* They giveth and taketh away. 🙄

Mileena: I am SO happy that they kept her as a good character and that she isn't always Tarkatan! I wasn't sure how I'd like her being Outworld's empress because I thought for sure she would be evil, so seeing that she was actually kind and not a blood thirsty monster made me super happy! Also, I've been waiting YEARS to see her and Kitana have an actual sisterly bond and it finally happened! Couldn't be happier with her in this game. 💖 Also, her being so fascinated by Johnny's drone was so fucking adorable. 😂

Kitana: This was probably my most favorite Kitana yet! I was shocked that she wasn't made Empress but I actually like her as Mileena's #1 supporter and protector. And she's in charge of Outworld's armies? BADASS!!! And her reaction to Johnny being shocked by her age was so cute. Wait a minute... Who's sick idea was it to sit Kitanna beside Johnny anyway?! 🤨😑

Li Mei: I LOVE this Li Mei! Seriously, couldn't have done her better! Her design is perfect, her story was very good and she did so well to redeem herself. I never would have guessed that her and Sindel were close friends. But I love that! Now if only Sindel didn't die and we got more of that friendship— 😒

Tanya: Her relationship with Mileena was so cute and God, I need more of it! 😫 Also, I really misjudged her. I thought for SURE she would be a villain!

Rain: I don't have too much to say about him other than I liked his design and I seen him being a villain coming. 😅

Reiko: Pretty cool design and I actually liked him more than I thought I would. I'd like to learn more of his story in future games as well. (Also, Syzoth randomly mocking him in the intro dialogues was too fucking funny! 🤣)

General Shao: No words other than he is a dick and I can't take him seriously after that edited picture of him wearing makeup I seen on Reddit. 🤣

Nitara: What the fuck was that?!?! I mean, her design was ok. (Except for that cone-head hairdo. 😂) But Megan Fox did fucking AWFUL voicing her! I was so shocked because Megan is an actress and from what I've heard about her, she does pretty well. But I literally couldn't focus on any scenes with her in them because of how bad she was. How could they do our girl dirty like this?! 😭

Havik: Pretty cool but he makes me squeamish. I don't know why. 😆

Shang Tsung: I HATE YOU! I HATE YOU! I HATE YOU! GO DIE! 🤬🤬🤬 It's crazy because I've always kinda liked Shang Tsung because he was always such a good villain but after that whole Syzoth thing, I despise the bastard. 😂 But I can't believe Shang from the old timeline disguised himself as Kronika to fuck over himself in Liu's timline! 🤣 Also, the new deadly alliance?! Let's gooooooooo! I LOVE all the old game references, especially the Armageddon one!

Quan Chi: I LOVE his new design! His eyes were so creepy and unsettling which was perfect! It's weird because even though I knew he was in the DLC pack, I didn't expect him to be actually IN the game. 😂 Probably, my most favorite Quan Chi so far.

Ermac: JARROD TOOK CONTROL OF HIM?!?! WHAAAAAAAAAAAAAAAAAAAAAAAAAAAAT?!?! God, when he got reunited with Sindel and the girls, I almost cried! That was such a beautiful reunion! 🥺 And Sindel is now a part of him too? This is crazy!

Geras: I'm glad he is on the good side. They kind of made him seem a bit against Liu Kang in the trailer for him so I was worried. But I love this upgrade, both appearance and personality wise. He seems like a kind soul. 😌

Honorable mentions: Madam Bo! What an absolute badass! I'm PRAYING for her to be a playable character in the future! 🙏🏻 Also, the alternate timeline characters?! That was SICK! And some of them were SO funny too! I mean Klockodle? Stung Lao? John Kahner? Janet Cage? THAT FUCKING SONYA/KANO ABOMINATION!!! 😭🤣 And I'm also declaring that since there are many alternate timelines, everybody's fanfics are canon! 😤

Anyway, yeah, we have waited years for this game—four, if I'm correct—and honestly, it was worth the wait. I can't wait to actually play it! 😌💖

[cienie-isengardu]

I find it hilarious the Grandmaster probably banging Sektor's head on the wall about how loyalty is important and how Lin Kuei principals are absolute since he was baby and he didn't see Sektor might develop a tinge of independence to realize he didn't have to be told what to do once he's in a superior body. I feel like Sektor was kind of just waiting for a chance to seize power from his father and the Cyber Initiative gave him an opening and I feel his programming somewhat deteriorating was actually just Sektor's personality resurfacing above protocol and seeing that his father was no longer necessary.

I feel Sektor was honestly probably waiting for his father to die in the back of his mind prior(maybe he thought the guy would just die of old age or something) but when the Cyber Initiative was in motion and he got converted, this thought came back and eventually it just kind of weakened the loyalty protocols to where Sektor's desire to rule overrode his father's authority and he didn't feel like waiting for him to expire on his own.

The major reason why I have so hard time buying the whole human Sektor's desire to replace his father from MK9’s BIO is that the story mode, alongside other sources, doesn’t give me anything suggesting he was that ambitious or cunning to begin with and even less to think he was the designated heir. Quite the opposite, from the all named Lin Kuei characters from the same game, he is the most obedient one, the most willing to put Grandmaster’s wish over his own well-being and (at least visually wise) easily dominated by the presence of his fellow clan members. When Bi-Han is shown with Cyrax and Sektor, he takes the central place within their little group. When he is out of the picture, Cyrax openly questions Grandmaster’s vision of cyber Lin Kuei while Sektor is on the defensive, as he has no real argument to add to the discussion and Cyrax clearly doesn’t treat him as his superior, especially when Sektor confronted him about not killing Johnny Cage. 

It may be just me, but the human Sektor lacks the initiative that is characteristic for his cyber version. Similarly, for a supposed heir he feels so… subdued and withdrawn, not to mention his father sent him on a very dangerous mission in which the chance of dying was very high. Sub-Zero’s BIO from Deadly Alliance summed Kuai Liang’s choice to aid Raiden in his quest against new threat as “It was highly unusual for the Grand Master to embark on such a dangerous mission” and I think it wouldn’t be too far-stretched to assume Lin Kuei had a similar approach to the Grandmaster’s designed heir.

Sektor is a grown up man in MK9, if he was meant to replace his father at some point, I imagine he would be trained from birth for this duty. However, all the BIO says is that he had no choice about being Lin Kuei, but there is no information he was designed to be next Grandmaster. For all we know, the Grandmaster could have more children than Sektor and even if the man was considered as a potential candidate, sending him to the Mortal Kombat Tournament seems like too much risk - if he died, literal decades of proper education for the leadership would be wasted, wouldn’t it? 

My point is, I don’t think Sektor was seen by his father as the future leader of Lin Kuei - or anything more than an useful pawn, so I can understand that Grandmaster has never considered him a threat nor questioned his loyalty. Especially after automation, as C.I. Project was supposed to perfect the human warriors, not grand them better understanding of trauma and abuse they endured for Lin Kuei's benefit.

Frankly, maybe the fact that his son was so obedient and lacked initiative was the reason why he allowed Sektor to volunteer for C.I. Project - additional sources like Mortal Kombat Legends: Battle of the Realms adds a lot to that feeling of my, as Grandmaster’s explanation - complaint - about human weakness seemed to be solely directed at Sektor, the only cyborg fully presented during the speech: “The mortal body is fragile, weak. So, we enhanced them.”

Maybe you are right and Sektor waited for a chance to seize control and C.I. Project provided it - and the BIO indeed tells the truth that his “ultimate goal is to supplant his father as Grand Master of the Lin Kuei”. However I personally think it was not human Sektor’s desire for power nor personal ambitions that corrupted his programming, as he has never been shown trying to enlist Bi-Han or Cyrax for his planned coup. I think the problem lies in the fact that Grandmaster removed the “flaw” that kept Sektor in check, be it out of love or fear of his father. And once the flaw was subdued, Cyber Sektor could clearly see for the first time that his father is the danger he needed to remove to ensure his own safety, but also Cyber Lin Kuei’s independence. Because this is what you get when you remove humanity from a ruthless killer - no loyalty, no mercy. 

And yes, indeed, there is something hilariously ironic about Grandmaster's blindness to the danger of the C.I. Project and perfecting his own son that already dedicated all his life to him and the clan.

[nicklloydnow]

“I. Propositions on Fascism

1. "The most perfect organization of the universe can be called God." The fascism that recomposes society on the basis of existing elements is the most closed form of organization; in other words, the form of human existence closest to the eternal God.

In social revolution (but not in Stalinism as it exists today) decomposition conversely reaches its extreme point.

Existence is constantly situated in opposition to two equally illusory possibilities: an "ewige Vergottung und Entgottung," in other words an "eternal integration that deifies (that produces God), and an eternal disintegration that annihilates God in itself."

The destroyed social system recomposes itself by slowly developing an aversion to the initial decomposition.

The recomposed social structure—whether the result of fascism or of a negating revolution—paralyzes the movement of existence, which demands a constant disintegration. The great unitary constructions are only the warning signs of a religious upheaval that will push life's movement beyond servile necessity.

The charm, in the toxic sense of the word, of Nietzschean exaltation comes from its disintegration of life, while carrying it to the overflow of the will to power and irony.

2. With regard to the community, the character of the individual as substitute is one of the rare certainties that emerges from historical research. It is from the unitary community that the person takes his form and his being. The most opposed crises have led, before our eyes, to the formation of similar unitary communities: thus in these there was neither social sickness nor regression; instead, societies rediscovered their fundamental mode of existence, their timeless structure as it was formed or reformed in the most diverse economic or historical circumstances.

The protest of human beings against a fundamental law of their existence can evidently have only a limited significance. Democracy, which rests on a precarlous equilibrium between classes, is perhaps only a transitory form; it brings with it not only the grandeur but the pettiness of decomposition.

The protest against unitarism does not necessarily take place in a democratic sense. It is not necessarily done in the name of a within; the possibilities of human existence can from now on be situated beyond the formation of monocephalic societies.

3. Recognizing the limited scope of democratic rage (in large part deprived of meaning because the Stalinists share it) does not mean in any way the acceptance of a unitary community. Relative stability and conformity to natural law in no way confer on a political form the possibility of stopping the movement of ruin and creation of history, still less of satisfying in a single moment the demands of life. On the contrary, closed and stifling social existence is condemned to the condensation of forces of decisive explosion, which cannot be carried out within a democratic society. But it would be a crude error to imagine that the exclusive, and even simply the necessary, goal of an explosive thrust is to destroy the head and the unitary structure of a society. The formation of a new structure, of an "order" developing and raging across the entire earth, is the only truly liberating act, and the only one possible, since revolutionary destruction is regularly followed by the reconstitution of the social structure and its head.

4. Democracy rests on a neutralization of relatively free and weak antagonisms; it excludes all explosive condensation. Monocephalic society is the result of the free play of the natural laws of man, but each time it is a secondary formation, it represents a crushing atrophy and sterility of existence.

The only society full of life and force, the only free society, is the bi- or polycephalic society that gives the fundamental antagonisms of life a constant explosive outlet, but one limited to the richest forms.

The duality or multiplicity of heads tends to achieve in the same movement the acephalic character of existence, because the very principle of the head is the reduction to unity, the reduction of the world to God.

5. "Inorganic matter is the maternal breast. To be released from life is once again to become true; it is to perfect oneself. Whoever understands this would consider the return to insensate dust as a celebration."

"To grant perception also to the inorganic world; an absolutely precise perception—the reign of 'truth'! —Uncertainty and illusion start with the organic world."'

"Loss of all specialization: synthetic nature is superior nature. But all organic life is already a specialization. The inorganic world found behind it represents the greatest synthesis of forces; for this reason, it seems worthy of the greatest respect. In the inorganic, error and the limitations of perspective do not exist."

These three texts, the first summarizing Nietzsche, the other two taken from his posthumous writings, reveal at the same time the conditions of the splendor and poverty of existence. To be free means not to be a function. To allow oneself to be locked in a function is to allow life to emasculate itself. The head, conscious authority or God, represents one of the servile functions that gives itself as, and takes itself to be, an end; consequently, it must be the object of the most inveterate aversion. One limits the extent of this aversion, however, by giving it as the principle of the struggle against unitary political systems: but it is a question of a principle outside of which such a struggle is only a contradiction in terms.” - Georges Bataille, ‘Propositions’

[merpmonde]

200 km/h push-pull trains

While Germany has recent double-deck train carriages, the Dostos shown previously being built in the 2000s, and updated versions still being produced, France made its last carriages in the 1980s, including Corail cars for inter-city services. But their use was curtailed by the development of the high-speed network.

Some sets were given push-pull ability, with a driving cab at one end that can control the locomotive at the other - the lead car above being a renovated B5uxh: second-class seating, 5 compartments, air-conditioned, driving cab, disabled access. These have found a new lease of life in regional transport, especially in the East, as the straight and flat Alsace line from Strasbourg to Basel allows these 200 km/h-capable carriages to stretch their legs. The "TER 200" puts Strasbourg only 80 minutes from Switzerland (wink-wink-nudge-nudge for a future trip).

The usual motors for these sets are BB 26000 "Sybic" locomotives built in the 1990s, powerful enough to get them to their top speed. While not at top speed in this setting, probably running at 100 km/h on the slower line to the Lorraine region, they still feel like very big trains when they go by.

Other push-pull trains exist in Alsace, with smaller locos and carriages rejoining the fleet for the planned Réseau Express Métropolitain Européen. However, most passengers trains everywhere in France now are covered by multiple units, especially since bi-mode units like the Régiolis shown below, have appeared. These are capable of running on electric power or with a Diesel engine, making them as flexible as can be.

[r-prakash]

What Does It Take to Be a Successful Data Scientist in India?

So, you want to dive into the exciting world of Data Science in India? Well, grab your thinking cap and get ready for a rollercoaster ride through the data jungle! Here's the lowdown on what it takes to succeed:

1. Get Your Math Game On: First things first, you need to be buddies with math and stats. It's like the secret handshake of the data club.

2. Learning is a Lifestyle: Data Science is like that ever-changing friend who always has something new up their sleeve. So, be prepared to be a lifelong learner. Online courses are your BFFs.

3. Code Like a Pro: Learn Python and R – they're like the cool tools in your data toolbox. You'll use them to cook up amazing data dishes.

4. Sherlock Holmes Mode: Develop a superpower for problem-solving. You'll be the Sherlock Holmes of data mysteries.

5. Dive into a Domain: Choose a domain – like finance, healthcare, or e-commerce – that tickles your fancy. It's like picking your favorite ice cream flavor in the world of data.

6. Picasso of Data: Learn to paint pretty pictures with data. Tools like Tableau or Power BI will help you create data masterpieces that everyone can understand.

7. Pet Projects: Get your hands dirty with personal data projects. It's like gardening but with data. Showcase your green thumb in a portfolio.

8. Make Data Friends: Network with data nerds. Attend meetups, conferences, or just chat with fellow enthusiasts. You might find your data soulmate.

9. Mu Sigma Magic: Mu Sigma is like Willy Wonka's Chocolate Factory of Decision Science. They offer golden tickets to data lovers. Check out job openings at Mu Sigma and see if it's your golden ticket.

10. Soft Skills: Your charm matters too! You need to explain data stuff to folks who don't speak binary. Communication and teamwork are your secret weapons.

11. Be a Chameleon: The data world changes faster than a chameleon's colors. Be ready to adapt and embrace new challenges and tech like a pro.

In India, the data science scene is sizzling hot! There are plenty of juicy job opportunities, whether you're fresh out of college or a seasoned pro. So, gear up because it's time to rock the data world and make some sense out of the chaos, one byte at a time!

[education43]

What is the Difference Between Data Science and Data Analytics Courses? 

In today’s data-driven world, both Data Science and Data Analytics have become essential in making informed business decisions. While they are often used interchangeably, these fields have distinct purposes, techniques, and career paths. If you're looking to pursue a course in one of these domains, it's important to understand the differences before making a decision. In this blog, we will break down the key differences between Data Science courses in pune and Data Analytics courses, with a special focus on opportunities in Pune.

What is Data Science?

Data Science course in pune is an interdisciplinary field that combines mathematics, statistics, programming, and domain expertise to extract insights from large sets of structured and unstructured data. It focuses on building predictive models, applying machine learning techniques, and developing algorithms to solve complex problems.

What is Data Analytics?

Data Analytics, on the other hand, focuses on analyzing and interpreting existing datasets to find actionable insights and solve business challenges. It emphasizes descriptive and diagnostic analytics, which help companies understand trends, anomalies, and key performance indicators from past data.

Key Differences Between Data Science and Data Analytics Courses

Scope of StudyData Science courses in pune cover a broader spectrum, delving deep into machine learning, artificial intelligence (AI), big data technologies, and predictive modeling. You will learn about programming languages such as Python, R, and SQL, along with tools like TensorFlow and Hadoop. On the other hand, Data Analytics courses in pune focus more on business intelligence and analysis tools like Excel, SQL, Tableau, and Power BI. The objective is to understand data trends and assist in decision-making using historical data.

Curriculum FocusA Data Science course in Pune offered by institutes like DataCouncil typically includes subjects such as:

Machine Learning

Data Mining

Deep Learning

Big Data Technologies

Python and R Programming

Data Visualization

Predictive Modeling

In contrast, a Data Analytics course in pune emphasizes:

Data Cleaning and Preparation

Descriptive and Diagnostic Analytics

Business Intelligence Tools (Tableau, Excel)

SQL for Data Management

Data Reporting and Dashboards

Career PathGraduates of Data Science courses in pune can explore advanced roles such as:

Data Scientist

Machine Learning Engineer

AI Specialist

Big Data Engineer

Those completing Data Analytics courses can pursue roles like:

Data Analyst

Business Intelligence Analyst

Data Visualization Specialist

Data Consultant

Data Science and Data Analytics Courses in Pune

Pune has emerged as a major IT hub, with several institutes offering quality Data Science and Data Analytics courses in pune. Institutes like DataCouncil provide comprehensive programs designed for both freshers and working professionals, ensuring that students receive hands-on training and exposure to real-world projects.

Data Science course in Pune with DataCouncil offers:

In-depth training in machine learning and big data tools

Industry-recognized certifications

Placement assistance with top companies

Flexible learning modes: both online and offline classes

Meanwhile, Data Analytics courses in Pune focus on:

Practical knowledge of BI tools

Understanding data reporting techniques

Internship and live project opportunities

Affordable fee structures and flexible schedules

Data Science vs. Data Analytics: Which Course is Right for You?

Choosing between Data Science course in pune and Data Analytics depends on your career goals, technical expertise, and personal interests. If you're interested in advanced algorithms, programming, and working with large datasets to create predictive models, a Data Science course in pune may be ideal for you. However, if your focus is on interpreting data, solving business problems, and using visualization tools to present findings, a Data Analytics course could be the better fit.

Why Choose DataCouncil?

Whether you opt for Data Science or Data Analytics, DataCouncil in Pune is one of the top institutes providing tailored programs with placement support. Here's why DataCouncil stands out:

Expert Instructors: Learn from industry professionals with years of experience in the field.

Hands-on Projects: Gain practical experience by working on live projects and real-world datasets.

Flexible Learning: Choose from weekday or weekend batches, online or offline, to suit your schedule.

Placement Assistance: DataCouncil provides 100% placement support with resume building and mock interviews.

Conclusion

Understanding the difference between Data Science courses in pune and Data Analytics courses is crucial when planning your career. Both fields offer great opportunities, but the right choice depends on your career aspirations and skills. Whether you're looking to become a Data Scientist or a Data Analyst, Pune offers plenty of training options through leading institutes like DataCouncil. Explore their course offerings and take your first step towards a data-driven career today!Looking for the best Data Science course in Pune? DataCouncil offers top-tier Data Science classes in Pune, providing comprehensive training with real-world projects. Our Data Science course in Pune is designed to equip you with essential skills in data analysis, machine learning, and visualization. We offer affordable Data Science course fees in Pune, and our programs come with 100% placement support. Choose online Data Science training in Pune or attend classroom sessions at the best institute for Data Science in Pune. Unlock your career potential with our Pune Data Science course today!

[pulkitkohli]

Data Analytics Course in Rohini: Comprehensive Overview

Introduction to Data Analytics

In today’s data-driven world, the ability to analyze and interpret data is more valuable than ever. Businesses across industries rely on data analytics to make informed decisions, improve operational efficiency, and enhance customer satisfaction. The data analytics course in Rohini is designed to equip participants with the essential skills and knowledge required to thrive in this rapidly evolving field.

Course Objectives

The primary objectives of the course are to:

Understand the Role of Data Analytics: Participants will learn about the significance of data analytics in various sectors, including finance, healthcare, marketing, and logistics.

Develop Technical Skills: The course will focus on essential tools and programming languages used in data analytics, enabling students to manipulate and analyze data effectively.

Apply Analytical Techniques: Students will gain practical experience in applying statistical methods and analytical techniques to real-world data.

Build a Strong Foundation in Machine Learning: An introduction to machine learning concepts will help students understand advanced analytics and predictive modeling.

Prepare for Career Opportunities: The course aims to equip students with the necessary skills to pursue careers in data analytics, offering guidance on job opportunities and industry expectations.

Course Structure

The course is structured into several modules, each focusing on different aspects of data analytics:

Module 1: Introduction to Data Analytics

What is Data Analytics?: Understanding its definition, importance, and applications in business.

Types of Data: Exploring structured and unstructured data, big data, and data mining.

Data Analytics Process: Steps involved in data analytics, including data collection, cleaning, analysis, and visualization.

Module 2: Data Collection and Cleaning

Data Sources: Identifying various sources of data, including surveys, databases, and online resources.

Data Cleaning Techniques: Learning how to preprocess data to ensure accuracy and reliability, including handling missing values and outliers.

Tools for Data Collection: Introduction to tools like Excel, Google Sheets, and APIs for data gathering.

Module 3: Statistical Analysis

Descriptive Statistics: Understanding measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation).

Inferential Statistics: Introduction to hypothesis testing, confidence intervals, and regression analysis.

Correlation and Causation: Distinguishing between correlation and causation and understanding their implications in data interpretation.

Module 4: Data Visualization

Importance of Data Visualization: Understanding how visual representation of data enhances comprehension and communication.

Visualization Tools: Hands-on training with tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn).

Creating Effective Visuals: Best practices for designing charts, graphs, and dashboards that effectively convey insights.

Module 5: Programming for Data Analytics

Introduction to Python/R: Basics of programming in Python or R, focusing on syntax, data structures, and libraries used in data analysis.

Data Manipulation: Learning libraries like Pandas (Python) and dplyr (R) for data manipulation and analysis.

Automating Analysis: Writing scripts to automate repetitive data analysis tasks.

Module 6: Introduction to Machine Learning

What is Machine Learning?: Understanding the basics of machine learning and its applications in data analytics.

Types of Machine Learning: Overview of supervised, unsupervised, and reinforcement learning.

Building Simple Models: Introduction to algorithms like linear regression, decision trees, and clustering techniques.

Module 7: Real-World Projects

Hands-On Experience: Engaging in real-world projects that allow students to apply their skills to solve actual business problems.

Case Studies: Analyzing case studies from various industries to understand how data analytics drives decision-making.

Collaboration: Working in teams to enhance problem-solving and communication skills.

Module 8: Career Guidance and Industry Insights

Career Pathways: Exploring different roles in the data analytics field, such as data analyst, business intelligence analyst, and data scientist.

Resume Building: Guidance on creating an impactful resume and preparing for interviews in the data analytics domain.

Networking Opportunities: Connecting with industry professionals through workshops, seminars, and guest lectures.

Teaching Methodology

The course employs a blend of theoretical knowledge and practical application through:

Interactive Lectures: Engaging lectures that foster discussion and enhance understanding.

Hands-On Workshops: Practical sessions where students can apply their knowledge using real data sets.

Group Projects: Collaborative projects that promote teamwork and the sharing of ideas.

Guest Speakers: Inviting industry experts to share insights and experiences.

Course Duration and Format

The course typically spans several weeks to months, with classes held in-person or online, depending on participant preferences. Flexible scheduling options may be available to accommodate working professionals.

Target Audience

This course is suitable for:

Beginners: Individuals with no prior experience in data analytics looking to start a career in this field.

Professionals: Those seeking to upskill and incorporate data-driven decision-making into their roles.

Students: University students pursuing degrees in business, IT, or related fields who want to enhance their employability.

Certification

Upon successful completion of the course, participants will receive a certificate that acknowledges their skills and knowledge in data analytics, which can be a valuable addition to their resumes.

Conclusion

The data analytics course in Rohini is a comprehensive program designed to provide students with the essential skills needed to excel in the data analytics field. By combining theoretical knowledge with practical experience, participants will be well-prepared to tackle real-world challenges and seize career opportunities in this exciting and dynamic industry. Whether you’re looking to start your journey in data analytics or enhance your existing skills, this course offers the tools and insights needed to succeed.

[imarticuslearningcourses]

Essential Skills for Data Analytics: What to Learn Before You Enroll

As the demand for data analytics professionals continues to rise, aspiring data analysts must equip themselves with the necessary skills to thrive in this dynamic field. Enrolling in a comprehensive data analytics course is an excellent step toward a successful career. However, before you dive into your studies, it's crucial to understand the essential skills that will set you up for success.

1. Statistical Knowledge

At the heart of data analytics lies statistics. A solid grasp of statistical concepts is vital for interpreting data and making informed decisions. You'll need to understand descriptive statistics (mean, median, mode), inferential statistics (hypothesis testing, confidence intervals), and various probability distributions. This foundation will enable you to analyze data trends, assess the reliability of data, and draw meaningful conclusions.

2. Proficiency in Programming Languages

Programming is an indispensable skill for data analysts. Familiarity with languages such as Python and R is essential, as these languages are widely used in data analysis for tasks like data manipulation, statistical analysis, and machine learning. Python, for example, offers libraries like Pandas and NumPy that streamline data handling, while R excels in statistical modeling and visualization.

Incorporating a data analytics course like those offered by Imarticus Learning can significantly enhance your programming skills. Their curriculum emphasizes hands-on experience with these languages, ensuring you gain practical knowledge that can be directly applied in real-world scenarios.

3. Data Visualization Skills

The ability to visualize data effectively is another crucial skill for data analysts. Data visualization transforms complex datasets into clear, understandable representations. Mastery of tools like Tableau, Power BI, or Matplotlib in Python allows you to create impactful visualizations that convey insights effectively to stakeholders.

Imarticus Learning’s data analytics course includes modules focused on data visualization techniques, enabling you to present your findings in a visually compelling way. This skill is particularly important, as organizations increasingly rely on data storytelling to drive strategic decisions.

4. Understanding of Data Management

Data analysts often work with large datasets, making data management skills essential. Knowledge of database management systems (DBMS) like SQL is critical for querying and managing data efficiently. Understanding how to extract, clean, and manipulate data will be integral to your role.

Imarticus Learning’s course emphasizes the importance of data management, providing hands-on experience with SQL and other relevant tools. This training ensures you develop the capability to handle complex datasets, a skill that employers highly value.

5. Critical Thinking and Problem-Solving

Data analytics is not just about analyzing numbers; it's about interpreting those numbers to solve problems. Strong critical thinking skills enable you to ask the right questions, identify patterns, and derive actionable insights. You'll need to approach data with a problem-solving mindset, applying analytical techniques to real-world business challenges.

6. Communication Skills

Finally, effective communication is essential in data analytics. You’ll need to articulate your findings clearly to non-technical stakeholders. Being able to translate complex data insights into understandable language is crucial for influencing decision-making processes.

Imarticus Learning emphasizes soft skills in its data analytics course, preparing you not only to analyze data but also to communicate your insights effectively. This holistic approach to learning ensures that graduates are well-rounded professionals capable of making an impact in their organizations.

Conclusion

Equipping yourself with the essential skills outlined above is critical before enrolling in a data analytics course. With a strong foundation in statistics, programming, data visualization, data management, critical thinking, and communication, you'll be well-prepared to tackle the challenges of the data analytics landscape. Imarticus Learning offers a comprehensive program that addresses these skills, providing a robust pathway for your career in data analytics. Enroll today and take the first step toward becoming a proficient data analyst!

[govindhtech]

Looker Gemini Launches LookML Assistant And AI Visualization

The field of business intelligence (BI) is changing quickly these days as customers utilize strong, generative AI-driven data analysis tools to extract ever-more value from their own information. Google Cloud is releasing LookML Assistant and Visualization Assistant, two crucial Gemini features in Looker, to enable you create and interact throughout your company with intuitive AI-driven insights, and to assist speed up this change. These developments streamline the organization and distribution of data for analysts and developers while reimagining how they can engage with modeling and visualization tools.

Unveiled at Google Cloud Next, in April, Looker’s Gemini will alter how you derive insights from the most consequential data available to you. You can help everyone in your company by leveraging natural language and Google‘s AI to explore, collaborate, and make decisions more quickly among your team members.

Use the LookML Assistant to write LookML more quickly

Looker’s version-controlled semantic layer, or LookML Assistant for short, serves as an abstraction layer between your data and business users, giving them a dependable and consistent means of accessing and analyzing information. This makes data governance easier to manage and promotes data integrity throughout the company. LookML Assistant streamlines the code-creation process and offers recommendations and direction to help you get started with LookML and expedite your workflow. LookML Assistant can be used to generate measurements, dimension groups, dimensions, and other code recommendations.

Looker’s Gemini offers generative AI powered support to ease your data processing.Using Looker’s Gemini, the Looker IDE’s Help me code screen uses written instructions to produce LookML code suggestions. In your LookML Assistant, Gemini can be used to construct dimensions, dimension groups, and measurements.

To include LookML into your Looker project using Gemini, take the following actions:

You need enable Development Mode on your Looker instance.

Launch the Looker IDE and open your project.

To put LookML into a file, open the LookML view file using the IDE file browser.

Using the side panel selection, choose the Help me code icon.

Click to highlight a line in your LookML view file while the Help me code panel is displayed. Gemini offers relevant options, such Create a dimension or Create a measure, to assist you based on the type of LookML file you are working with and where your cursor is located within the file.

From the Help me code panel, pick one of the following:

Form a group of dimensions.

Construct a dimension

Make a measurement

Other code suggestion: If you’d like to experiment with other LookML elements, you can use this option. Since Gemini is still in its early stages of development, make sure to verify and test all of the output before implementing it.

Use natural language when describing the dimension, dimension group, or measure that you wish to construct in the Help me code panel text section. For assistance, go to the parts on this page that include Sample prompts and Tips for using Gemini in the Looker IDE.

To submit your request to Gemini, click the Submit icon or hit Enter. Gemini will reply with a code recommendation.

With the provided code, the following actions are possible:

To see a preview of the proposed LookML in your file, hover your cursor over the Insert button. Before adding the LookML to the file, you can shift your cursor to a different line to preview it in a different place.

To make manual changes to the proposed LookML, click the Edit button.

To put the LookML into your file at the point where your cursor is, click the put button.

Please select the thumbs up or thumbs down (This response was not what expected) to indicate your opinion on the provided code.

To start anew and input a new Gemini prompt, click the New code proposal link.

In your LookML file, click Save Changes.

Check the LookML by carrying out these actions:

Check the LookML with the LookML Validator.

Take a LookML test in an Explore.

Create bespoke visualizations with natural language

Additionally, by adjusting the underlying JSON code directly, you may fine-tune the look and functionality of your visualizations using Looker’s Chart Config Editor. With the considerable customization possibilities this tool offers beyond the usual visualization settings, you may make charts and graphs that are both more visually appealing and instructive.

With the release of Visualization Assistant in preview today, google cloud extending this capability and making it simpler than ever to add adjustments to Looker’s pre-made visuals. To personalize your visualizations, ask Gemini in Looker using natural language, rather than scouring the docs for the appropriate JSON options.

Create a visualization in Looker Explore and select an out-of-the-box chart type, like a column, bar, or line, to begin using LookML Assistant After that, select the Visualization Assistant button from the options bar for visualization. Looker’s Gemini will inquire as to what you would like customized. When you provide a question or choose one of the pre-written suggestions, Gemini generates the customized code. Apply the parameters and your new visualization will go live if you like what you see.

Looker’s Gemini feature lets you communicate with your data to make it more interactive and expedites daily data engagements.

Read more on Govindhtech.com

[itview2024]

Data Analytics Course in Pune: Your Pathway to a High-Paying Career

In today’s data-driven world, the ability to analyze and interpret data is a highly sought-after skill across industries. Whether you’re looking to advance in your current role or switch to a more lucrative field, enrolling in a Data Analytics course in Pune can be a game-changer. Among the many options available, ITView Inspired Learning stands out as a premier institute for those aspiring to become data analytics professionals. Here’s why ITView Inspired Learning is your best choice for launching a successful and high-paying career in data analytics.

Why Choose a Career in Data Analytics?

Data analytics has become a cornerstone for decision-making in various sectors, including finance, healthcare, marketing, and technology. The need for professionals who can extract meaningful insights from complex datasets has skyrocketed, making data analytics one of the most in-demand skills in the job market. Here are some compelling reasons to consider enrolling in a Data Analytics course in Pune:

High Demand: Skilled data analysts are crucial as companies increasingly rely on data to guide their strategies and operations.

Lucrative Salaries: Professionals with data analytics expertise often earn higher-than-average salaries, reflecting their specialized skills.

Diverse Opportunities: A background in data analytics opens doors to various roles, such as data scientist, business analyst, and data engineer, across multiple industries.

Continuous Learning: The field is constantly evolving, providing endless opportunities for professional growth and development.

Why Choose ITView Inspired Learning for Your Data Analytics Course in Pune?

ITView Inspired Learning is a leading provider of data analytics training in Pune, known for its comprehensive curriculum and hands-on approach. Here’s what sets ITView Inspired Learning apart:

Experienced Faculty: Our instructors are industry experts with years of experience in data analytics. They bring practical knowledge and real-world case studies into the classroom, ensuring that you gain not only theoretical understanding but also practical skills.

Comprehensive Curriculum: The course covers all essential tools and techniques, including Python, R, SQL, and data visualization tools like Tableau and Power BI. Whether you’re a beginner or an experienced professional looking to upskill, our curriculum is designed to meet your needs.

Hands-on Projects: At ITView Inspired Learning, we believe that learning by doing is the best way to master data analytics. Our Data Analytics course in Pune includes numerous hands-on projects and assignments that allow you to apply what you’ve learned to real-world scenarios.

Placement Assistance: We provide dedicated placement support to help you find the right job after completing the course. Our strong industry connections ensure that our students have access to top companies looking for skilled data analysts.

Flexible Learning Options: We offer both online and classroom sessions, allowing you to choose the mode of learning that best fits your schedule and preferences.

State-of-the-Art Facilities: Our modern training facility is equipped with the latest technology and tools, providing an optimal learning environment for students enrolled in our Data Analytics course in Pune.

What You Will Learn in the Data Analytics Course in Pune

The data analytics course at ITView Inspired Learning is designed to equip you with the skills needed to succeed in this competitive field. Here’s what you’ll learn:

Data Manipulation and Analysis: Learn to handle and analyze large datasets using tools like Python and R.

Data Visualization: Master the art of creating insightful visualizations using Tableau, Power BI, and Excel to communicate your findings effectively.

Statistical Analysis: Understand key statistical concepts and how to apply them to data.

Machine Learning Basics: Get an introduction to machine learning models and how they can be used for predictive analytics.

Big Data Tools: Explore big data technologies like Hadoop and Spark to handle large-scale data analytics.

Career Opportunities After Completing the Data Analytics Course in Pune

Upon completing the Data Analytics course in Pune at ITView Inspired Learning, you’ll be equipped with the skills and confidence to pursue various roles, including:

Data Analyst

Business Analyst

Data Scientist

Data Engineer

Business Intelligence Analyst

With the demand for data analytics professionals at an all-time high, you’ll have numerous opportunities to land a high-paying job in top companies across sectors like finance, healthcare, retail, and more.

Conclusion

Investing in a Data Analytics course in Pune at ITView Inspired Learning is a smart choice for anyone looking to enter a field with excellent career prospects and high earning potential. Our course not only provides you with the technical skills required to excel in data analytics but also the practical experience needed to stand out in the job market.

Don’t miss this opportunity to transform your career! Enroll in the Data Analytics course in Pune at ITView Inspired Learning and take the first step towards a high-paying career in data analytics today.

[123567-9qaaq9]

Detailed information about Fiber Optics Cable Market Report | BIS Research 

A fiber optic cable is a type of cable that contains one or more optical fibers used to transmit data as pulses of light. These fibers are typically made of glass or plastic and are designed to carry signals over long distances with minimal loss of data or signal degradation. 

The Fiber Optic Cable Market was valued at $14.61 billion in 2022, and it is expected to grow at a CAGR of 10.70% and reach $43.02 billion by 2032.  

Global Fiber Optics Cable Overview 

Fiber optic cables are essential components in modern telecommunications and data transmission systems. 

These cables use light signals to transmit data, offering much higher speeds and bandwidth compared to traditional copper cables. A typical fiber optic cable consists of several optical fibers made of glass or plastic, which are designed to carry information in the form of light pulses.

Grab A Free Detailed Report on Global Fiber Optics Cable Market    

Key Components of Fiber Optic Cable Market 

Core- The central part that carries the light signals.

Cladding- A layer surrounding the core that reflects light back into the core, ensuring the signal stays within the fiber.

Buffer Coating- A protective layer around the cladding to prevent damage and moisture penetration.

Outer Jacket- The final protective layer for insulation and durability.

Key Advantages for Fiber Optics Cable Market 

High Bandwidth- They can transmit large amounts of data at high speeds, making them ideal for internet and communications services.

Long Distance Communication - Fiber optic cables can carry signals over long distances with minimal signal loss, reducing the need for amplifiers or signal boosters.

Immunity to Electromagnetic Interference- Unlike copper cables, fiber optics are not affected by electromagnetic interference, ensuring a stable and reliable connection.

Durability and Security - These cables are resistant to environmental factors like moisture and temperature, and are more secure against data breaches compared to copper cables.

The fiber optic cable market is evolving to meet the surging demand for high-speed data transmission, driven by technological advancements, expanding internet connectivity, 5G network deployment, and data center requirements. the fiber optic cable industry is experiencing robust growth driven by the need for high-speed, reliable, and scalable communication networks. The intersection of factors such as the adoption of 5G, increasing demands for internet connectivity, expansion of data centers, and ongoing technological innovations positions fiber optics as a crucial facilitator of the ongoing digital transformation across various industries. 

Demand - Drivers and Limitations

Following are the demand drivers for the fiber optic cable market:

•    Increase in Demand for Sustainable Cable Products •    Increased Internet Usage and Data Traffic •    Initiatives for Smart City Development •    Growth in Automotive Industry

Following are the limitations of the fiber optic cable market:

•    Rapid Growth of Wireless Systems •    Fragility and Low Flexibility of Fiber Optic Cables Compared to Other Cables •    Limited Power Transmission in Fiber Optic Cables

Visit our Next Generation Fuel/ Energy Storage Solutions Vertical Page Click Here! 

Market Segmentation for Fiber Optics Cable    

1 By Cable Type 

Single-Mode Fiber (SMF): Transmits data over longer distances using a single light wave, ideal for long-distance telecommunications and high-bandwidth data transmission.

Multi-Mode Fiber (MMF): Uses multiple light waves for data transmission over shorter distances, making it suitable for local area networks (LANs) and data centers.

2 By Material Type 

Glass Optical Fiber: Offers higher performance and is more commonly used in long-distance communications and high-speed data transmission.

Plastic Optical Fiber (POF): Less expensive, typically used for short-distance communication in homes, offices, and industrial settings.

3 By Application 

Telecommunications: Dominates the market due to the growing demand for high-speed internet, 5G networks, and improved telecommunication infrastructure.

Data Centers: Fiber optic cables are essential for high-speed data transmission in data centers, where large amounts of information are stored and processed.

4 By End Users 

Telecom & IT: The largest end-user segment, driven by the global expansion of internet and telecom services.

Healthcare: Increasing use of fiber optic technology in diagnostic equipment and imaging.

Defense: Rising demand for secure, fast communication solutions in military operations.

5 By Region 

North America: Significant market share due to advanced telecom infrastructure and demand for high-speed internet.

Europe: Growing demand for fiber optic networks in countries focused on digital transformation.

Key Players 

Belden Inc.

Finolex Cables Ltd

Fujikura Ltd.

Furukawa Electric Co., Ltd.

Corning Incorporated

CommScope Inc.

OFS Fitel, LLC

General Cable Corporation

Recent Developments in the Fiber Optic Cable Market

• In November 2023, China, in collaboration with Tsinghua University, China Mobile, Huawei Technologies, and Cernet Corporation, launched the world's fastest internet connectivity services. This network connected Beijing, Wuhan, and Guangzhou through an extensive optical fiber cabling infrastructure, showcasing the capability to transmit data at a remarkable speed of 1.2 terabits (equivalent to 1,200 gigabits) per second.

• In April 2023, STL Tech announced the development of its thinnest optical fiber, a 180-micron optical fiber. This fiber would allow for the lowest widths in cables while maintaining the highest fiber density to enable high-speed data transmission.

• In January 2023, Prysmian S.p.A. launched an 864-fiber version of the Sirocco HD microduct cable. The newly launched cable squeezes 864 fibers into a diameter of 11.0 mm, producing a fiber density of 9.1 fibers per square millimeter. The fiber cable can be installed into a 13-mm duct.

Visit our sample page for complete understanding Click here ! 

Conclusion

Fiber Optics Cable s (NEMS) represent a groundbreaking evolution in technology, offering unprecedented advantages in miniaturization, sensitivity, and energy efficiency. By integrating mechanical and electrical functions at the nanoscale, NEMS open new possibilities across a variety of fields, including healthcare, environmental monitoring, telecommunications, and quantum computing.  

[vishnupriya1234]

A Beginner’s Guide to Starting a Career as a Data Analyst

1. Get Acquainted with the Role of a Data Analyst

Before diving into data analysis, it’s essential to understand what the role involves. A data analyst's primary job is to collect, clean, and interpret data to assist companies in making informed decisions. This could mean examining sales data to identify successful products or analyzing customer feedback to enhance services. Essentially, data analysts turn raw numbers into valuable insights from the Data Analytics Course in Chennai.

2. Learn the Core Concepts of Data Analysis

You don’t need a formal degree to begin learning about data analysis. Start with the basics:

Spreadsheets: Begin with tools like Microsoft Excel or Google Sheets. Learn how to organize data, apply formulas, and create visual representations.

Statistics: Familiarize yourself with fundamental concepts such as mean, median, mode, and standard deviation, which are crucial for interpreting data.

Data Visualization: Develop skills to present data clearly using tools like Tableau or Power BI.

3. Get Proficient with Key Tools

Data analysts use specific tools to perform their tasks effectively. Focus on these:

SQL (Structured Query Language): SQL is essential for querying and managing databases. Free resources like W3Schools offer great learning opportunities.

Python or R: These programming languages are pivotal for data analysis. Python is especially recommended for beginners due to its simplicity.

Data Analysis Libraries: If you choose Python, get acquainted with libraries such as Pandas for data manipulation and Matplotlib for visualization.

If you want to learn more about Data Analytics, consider enrolling in an Data Analytics Online Course. They often offer certifications, mentorship, and job placement opportunities to support your learning journey.

4. Engage in Practical Projects

Hands-on experience is invaluable. Start with small projects by analyzing available datasets online. Platforms like Kaggle offer free datasets and beginner-friendly competitions to practice your skills. You might analyze sports trends or examine sales data from e-commerce sites.

5. Develop a Strong Portfolio

As you work on projects, create a portfolio to showcase your work. This could be a personal website or a GitHub repository. A well-organized portfolio is crucial for job applications, as it highlights your skills and experience to potential employers.

6. Improve Your Communication Skills

Analyzing data is just one part of the job; effectively communicating your findings is equally important. Work on presenting your insights clearly through reports, presentations, or interactive dashboards.

7. Network and Keep Up with Trends

Join online communities, such as LinkedIn groups or local meetups, to connect with fellow data enthusiasts. Stay updated with the latest trends by following relevant blogs, podcasts, or YouTube channels.

8. Apply for Entry-Level Jobs or Internships

Once you’re comfortable with your skills, start applying for entry-level positions or internships. These roles provide real-world experience and help you refine your abilities further.

9. Commit to Lifelong Learning

Data analysis is a constantly evolving field. Regularly update your knowledge through online courses, books, or workshops to keep your skills current.

In Summary

Embarking on a career as a data analyst is a manageable and rewarding journey for anyone ready to learn. Start with the basics, practice with real data, and stay dedicated to continuous learning. With perseverance and effort, you can build a successful career in this dynamic field.

Remember, every expert was once a beginner. Take your time, and enjoy the learning process!