#bigdata

[dipsiz1kuyuu]

[xlsdesignt]

what u think, to much colour, or less?

https://sdesignt.threadless.com/

[data-housing-solution-12]

"Unlocking Business Intelligence with Data Warehouse Solutions"

Data Warehouse Solution: Boosting Business Intelligence

A data warehouse (DW) is an organized space that enables companies to organize and assess large volumes of information through multiple locations in a consistent way. This is intended to assist with tracking, company analytics, and choices. The data warehouse's primary purpose was to render it possible to efficiently analyze past and present information, offering important conclusions for management as a business strategy. 

A data warehouse normally employs procedures   (Take, convert, load) for combining information coming from several sources, including business tables, operations, and outside data flows.This allows for an advanced level of scrutiny by ensuring data reliability and precision. The information's structure enables complicated searches, which are often achieved using the aid of SQL-based tools, BI (Business Intelligence) software, or information display systems.

Regarding activities requiring extensive research, data storage centers were ideal since they could provide executives with rapid and precise conclusions. Common application cases include accounting, provider direction, customer statistics, and projections of sales. Systems provide connectivity, speed, and easy control of networks, but as cloud computing gained popularity, data warehouses like Amazon's Redshift, Google's Large SEARCH, and Snowflake have remained famous.  

In conclusion, managing information systems is essential for companies that want to make the most out of their information. Gathering information collected in one center allows firms to better understand how they operate and introduce decisions that promote inventiveness and originality.

[cbirt]

Suppose there was a library where the whole instruction manual for every living organism on Earth could be found. It’s not science fiction, but projects such as “Indexing All Life’s Known Biological Sequences” are designed to try and accomplish this. In this case, the instructions refer to DNA and protein sequences that constitute the blueprints of life. Decoding these sequences is necessary to understand how organisms function, evolve, and relate to each other. However, searching and analyzing these sequences has become difficult due to increased biological data being generated. This is where MetaGraph comes in – a powerful new tool that functions like Google for DNA, which was developed by researchers to tackle the problem of managing massive biological sequence datasets.

Our genetic information is written using nucleotides, which are essentially building blocks of RNA and DNA. Each living thing has its own set of these nucleotides arranged in an elaborate labyrinthine codebook. MetaGraph uses “De Bruijn graphs,” a smart strategy for representing these sequences efficiently. Think about it like a detailed map where each part represents a short sequence (called k-mer) while connections between sections show overlap between those k-mers.

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[ianfulgar]

The complexity of modern cities can feel overwhelming, with issues like traffic congestion, pollution, and inadequate infrastructure becoming daily challenges. But what if technology could provide the solutions we need? By harnessing AI and robotics, we can create urban spaces that are more sustainable, efficient, and livable for everyone. The future of urban planning is bright, and it’s within our reach.

[deeones]

🚀 Revolutionize Your Data Management! 🚀 Discover how Python-based RPA integration with BI tools can automate ETL processes, increasing efficiency, accuracy, and scalability. Learn how businesses like yours are leveraging this technology to drive data-driven decision-making. 💡Learn More: https://lnkd.in/giV6BPNQ The latest scoop, straight to your mailbox : http://surl.li/omuvuv #DataManagement #ETL #RPA #BI #Automation #DigitalTransformation #DataAnalytics #BusinessIntelligence #TechnologyInnovation #DataScience #Innovation #BusinessSolutions #DataProcessing #SoftwareDevelopment #DataVisualization #Analytics

[grey-space-computing]

Growth is exciting, but only if your app can handle it! Cloud technology ensures your app scales effortlessly to meet increasing demand. 📈 Get ready for success! 🔗Learn more: https://greyspacecomputing.com/custom-mobile-application-development-services/  📧 Visit: https://greyspacecomputing.com/portfolio

[xpc-web-dev]

Updates: I was self-sabotaging and in the end I almost missed two good opportunities.

How are you? I hope well.

I've had more instabilities in the last few days (if you follow me around here, you already know that this seems to be routine HEHUEHEH)

But things are improving and I've set some goals that have helped me feel more confident about where to go next.

Now I wanted to share news, what I learned in this process and what I will share from now on.

The prints above are from processes/scholarships that I was accepted.

The first is the Big data Engineer training proposed by a startup in the state where I live.

The second is training focused on the front-end (from Html to React.js and other soft skills)

The second one I applied for in February and I didn't even expect to be accepted, I took a simple question test and sent it on. This month I received acceptance and I was like "look how cool, I think I can learn well and the bank that sponsors it is famous in my country, so it will be nice to have it on my resume".

This is just a training, no possibility of hiring.

The first is precisely the point of self sabotage that I want to talk about.

Everything involving Data/AI is complex and a hell of a responsibility for me, so it's for everyone, but you have to put in a lot of effort. First I did the test there was SQL (I DIDN'T EVEN KNOW ANYTHING UHEUHEUE, Only with google searches and logic I got it) . And then there were issues with Matrix and Vectors AND I HAVE NEVER BEEN SO GRATEFUL TO NOVEMBER/DECEMBER BEA.

Thanks to all those exercises I managed to do (I just don't know how many I got right and how many I got wrong).

BUT here comes the self-sabotage I applied or signed up for this vacancy more than 3 times (the good and bad thing is that the platform kept the test, so it was only the first one I took) I was ALWAYS like: "I won't make it." "It's going to be too long for me", "I don't even have a background in math (they don't ask for math as a requirement, just a language and sql)", "I won't be approved", " I'm horrible at logic, even if I pass it will go wrong."

And so this week, before they reveal who passed, I wrote to myself again, with the feeling of "Whatever happens and that's it".

The result was yesterday but as nothing appeared in my email I thought,"I didn't pass and it's ok, let's continue with java"

-Yes, I started Java because I signed up for a Kotlin bootcamp sponsored by a good company. The best of this bootcamp could participate in their selection process. They don't pay well, but it would be enough to keep me going, so I just went.-

When I saw the notification in the email today I was in shock for many minutes, before and after HUEUEHUUE. "Did I really pass?"

In this program you can also have access to participate in the company's selection process. But no guarantee 100% work at the end.

I will try to focus more on the issue of doing my best in training and having it on my curriculum. (Strategy to regulate my anxiety). I want to work there, but I don't control the future, so I'll just focus on doing my best.

And this is where I wanted to encourage anyone reading this to try even if they don't think they can.

If I hadn't written myself again for the 4th time this week I wouldn't be in this training that will be good for my CV since I want to go to Artificial Intelligence.

Is afraid? Go scared! You can cross good doors and achieve things you never imagined. So for your future and also past versions, always try to believe or pretend to believe in yourself.I'm still trying, believe me

NOW WHAT WILL I POST?

I will post my routine with each of the classes.

First I'll need to level up my Python and SQL. So even though the big data training starts this week (it will be every day) the first week along with that I'm finishing that python course and practicing SQL.

While Big data will be every day from 19:00 2 hours each class, but I don't know how many classes a day yet. The Front-end are recorded classes and only 1 day a week we have live meetings and I'll probably have to reconcile both, but that's a problem for the future UHEHUEUE.

Maybe I'll separate it into 2 posts so I don't get so confused since they are different things.

I'm excited and wish those of you who are reading and trying to learn code to get good learning opportunities or jobs in the midst of everything that's going on.

Drink water and have a great weekend.

[openprogrammer]

It happens 💬 😂😂😂😂😂😂😂😂 Follow @openprogrammer Data +Science +ML +Python / R+Deep Learning + Neutral Network + AI #data #science #datascienceforindia #datascientist #datascience #machinelearning #ml #python #sql #ai #artificialintelligenceai #deeplearning #neuralnetworks #maths #bigdata #techno #technology #dataanalysis #hadoop #java #coderforlife #codinglife #coding#ruby #javascript #scala #perl #go #swift #java https://www.instagram.com/p/Cnlygopv-4l/?igshid=NGJjMDIxMWI=

[mlearningai]

What happens when human imagination meets machine intelligence? An algorithm can reproduce, at scale, every brushstroke, sculpted curve, and poetic phrase.

Who Can You Trust When Creativity Is Algorithmic? Algorithmic Authenticity. How AI artists can copyright their work

[aringoyblog]

Lego Bricks of Data and Personal Information: Facebook

One of the tech giants in the modern world was explicitly tackled during a discussion, Facebook. It was all about how the company collects data, and how they earn their revenue even though the services they offer are free. It was a take me back trip to the phrase "If it is free, then you are the product". Facebook is a company that revolves around data. The data they collect from their users will be used for personalized ads from third-parties such as partners and service providers. Meaning, they share our data towards companies who may benefit it. However, they insist that they never sell it. Still, the term "third parties" is broad and can range from pharmaceutical brands to even political figures. There are different categories on how Facebook collects your data; first we have explicit data, these are data which the user themselves voluntarily gave to Facebook. Next are metadata, also known as behind the scenes data like time, date, IP address, and device information. Then we have off-Facebook activity, wherein data are collected from plugins like Facebook pixel or Instagram and WhatsApp. Lastly, are third-party data, which are collected through other sources outside of Facebook and its partners which relates with you. In an objective perspective, the way on how they can track you easily is scary. One small tweak and Facebook could become the greatest threat on a national scale. With all that risks out in the open, what can I do to be safe? Just stop using Facebook? I cannot do that since it is the tool I am using to stay in touch with society and its current events. Is there any other way? Of course there is, that is limiting on how much you expose. Always remember that Facebook is getting profit from your data, and they may claim that your data is safe, but there is never a 100% security in this world. To conclude, Facebook is an amalgamation of data and it has the potential to become a pandora's box. So, in the case that it really becomes that, even on a small scale, let us protect our own data through these ways: 1. The Facebook app can collect more data about you than just using it on the browser. Delete and uninstall it. 2. Use a Facebook container extension when browsing Facebook on a browser like Brave or Firefox. 3. Manage your off-Facebook activity in ways like clearing history to break connections 4. Be mindful of what your profile exposes in the public, be private and limit what personal information you provide publicly. 5. Always and always think twice before posting something, especially photos. 6. In general, be stingy on the information or data that you provide. This is not only applicable on Facebook but, to all cyber activities you participate in. It is a sad fact that Facebook is profiting on so many people that do not know they are the product. I will spread the awareness of data privacy in my own way. It may be small, but every drop will count. "Privacy only comes to those who work for" - All Things Secured, 2022

[dipsiz1kuyuu]

Şu an beni sadece sahilde oturup 5 saat denize bakmak rahatlatır

[petcaretech]

Week 3 Post

Big data and algorithms are powerful tools used by large companies. They have the power to filter, track, identify patterns and predict future behavior of consumers. This can help companies directly market and tailor their products to their customers. This can be a good thing, or a bad thing depending on how you look at it. They know the best ways to make you buy things. Meaning they are essentially controlling you without you even knowing it.

This can be damaging to consumers. There are many risks involved including fraud, Identity theft, explicit content, causing children low self esteem. I think on a personal level its on parents to filter their children's use. On a professional level I think having a company wide system that filters searches, apps, and screen time. And on a societal level its on each and every person to filter themselves and what they post. Knowing that your data is being collected and monitored should make one think twice about each and everything they post.

[discountcoupon548]

Google Cloud Professional Cloud Architect Certification. Become a GCP Cloud Architect, Latest GCP Exam and Case Studies.

Google Cloud Platform is one of the fastest-growing cloud service platforms offered today that lets you run your applications and data workflows at a 'Google-sized' scale.

Google Cloud Certified Professional Cloud Architect certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands-on experience, and an understanding of a very wide range of GCP topics.

Luckily, we're here to help you out! This course is designed to be your best single resource to prepare for and pass the exam to become a certified Google Cloud Architect.

Why should do a Google Cloud Certification?

Here are few results from Google's 2020 Survey:

89% of Google Cloud certified individuals are more confident about their cloud skills

GCP Cloud Architect was the highest paying certification of 2020 (2) and 2019 (3)

More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work

Why should you aim for Google Cloud - GCP Cloud Architect Certification?

Google Cloud Professional Cloud Architect certification helps you gain an understanding of cloud architecture and Google Cloud Platform.

As a Cloud Architect, you will learn to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to:

Design and architect a GCP solution architecture

Manage and provision the GCP solution infrastructure

Design for security and compliance

Analyze and optimize technical and business processes

Manage implementations of Google Cloud architecture

Ensure solution and operations reliability

Are you ready to get started on this amazing journey to becoming a Google Cloud Architect?

So let's get started!

Who this course is for:

You want to start your Cloud Journey with Google Cloud Platform

You want to become a Google Cloud Certified Professional Cloud Architect

[innovativeacademy-blog]

Quiz Time

Visit: https://innovativeacademy.in Call us: +91 8447712333