#codd-sequel

[the-chickenshit-oddity]

merlin prompt

a bunch of people show up in camelot and declare themselves to merlin as his army, so now merlin has to keep them in check whenever arthur is his very own brand of affectionate as well as keeping them quiet so the king doesn't find out about his magic from one of merlin's worshippers.

meanwhile, arthur's too busy with this new prophecy to care about merlin's new suitors, of which there are a worrying number. a seer predicted his newest 'most powerful foe', someone by the name of emrys, and he must be ready for the battle to come.

(the seer hasn't stopped kicking themselves since they fumbled that prophecy. how hard is it to say 'your greatest and most powerful friend, emrys'?? but nooo, they had to get distracted when they actually recognised him, standing right next to the king, and what came out was 'your greatest and more powerful f-oh, emrys!'. the other seers will never let them hear the end of it, for sure!)

(alright so maybe merlin panicked a little when he saw the seer recognise him, and maybe he managed to get himself and arthur away a bit too soon for fear of the seer revealing his secret, and maybe it's a tiny little bit his fault that arthur is now convinced that merlin-well, emrys- is his enemy. if only he could get a minute free from his stupid army to try and convince arthur that he heard the seer wrong!)

[fromdevcom]

Structured Query Language (SQL) is the most popular language used in computers to create and manage databases. It is a language which has its own syntax and grammar. It does not belong to a particular company but is a universal language. The Structured Query Language can be pronounced Sequel or SQL. Like other computer languages like C, C++, Pascal, Java etc. We need a way to use it on our computer. We need a program that uses SQL as its means of communication. SQL is monitored by an independent organization, but each company adds a few features to its own implementation. MySQL is an application which is getting increasingly popular. The increasing popularity indicates that it is good, efficient, effective and reliable. In a simple manner, SQL is a non-procedural English-like language which processes data in groups of records rather than one record at a time. A few functions of SQL are the following: Storage of data Modification of data Retrieval of data Data deletion Generation of tables and other database projects. How Hard Is It To Learn SQL SQL is database layer query language and is not very difficult to learn. It does not require any prior programming experience to learn SQL queries. Learning SQL can be really easy if you already know a programming language. The fastest way to learn SQL is to start learning by doing it. History Of SQL A paper styled “A Relational Model of Data for Large Shared Data Banks” by Edgar F. Codd wrote in 1970 defined the relational database model. It became the basis for developing the SQL. Codd was a researcher associated with IBM. Based on his findings, in 1974 IBM began working on a new language for relational database management systems. The new language was originally called SEQUEL, or Structured English Query Language. The language went through a few modifications, implementations and the name was also changed a few times before it was finally called SQL. Subsequently, many SQL-based offerings hit the market where IBM had a key role to play. SQL is a language which is easy for beginners to learn than other programming languages like Java, C++, PHP or C#. Some of the relational database management systems which use SQL are Oracle, Sybase, Microsoft SQL Server, Access, Ingres etc. Most database systems use SQL. Most of them have their own proprietary extensions that are usually used only on their system. “Select”, “Insert”, “Update”, ”Delete”, “Create” and “Drop” are the standard SQL commands which can be used to achieve almost everything that one needs to do with a database. For those students who want to learn to programme from scratch, many free online courses will be of help. Step 1: Strong Determination To Learn Not every person loves SQL and hence, many of your friends and family will try their level best to discourage you from learning the language. It is true that the world of programming is flooded with different competing languages and it is not really possible to pick the one which is the best. A language which works perfectly for you might not serve the same purpose for someone else. Hence, instead of paying attention to what the critics of SQL have to say, you must focus all your attention on learning the language you picked. Know About Types Of Jobs And Skill Required For SQL Here are some of the positions that require applicants to have SQL skills: Database Developer The database developer should have the experience and the skills such as with Spring, XML, PL/SQL, Apache Camel, and Agile Methodologies. He or she also should have the ability to work closely with applications and web developers. Excellent problem-solving skills and strong relationship management skills are added advantage. Database Administrator (DBA) The database administrator should have the ability to with the computers that have the data. He should understand how computers store and retrieve data and also should have the knowledge to create a database. And the knowledge of database

organization and how it affects the computer and network performance is a must for this position. Also must have the ability to solve the technical problems which are caused by the database design and malfunction. Data Analyst The database analyst should have technical and soft skills. Technical skills mean a basic knowledge of statistics to a rigorous understanding of Machine Learning and the computer skills such as a Statistical Language (R, SAS, SPSS), a scripting Language (Python, Matlab), a Spreadsheet (Excel), and Querying Language (SQL, Hive, Pig). The soft skills needed are; defining problem, knowing the audience and the delivery. Data Warehouse Engineer Data Warehouse Engineer should have the ability to dealing with people and the knowledge various aspects of data warehousing on the areas such as Overall end-to-end data warehousing architecture, understanding of client/server, server-side computing architectures and the understanding of database optimization concepts for tuning data access queries SQL Reports Writer SQL Reports Writer should have the overall knowledge of SQL and good communication skills, and various computer applications which are necessary for this position. Step 2: Start Simple Learning SQL can be frustrating and require a lot of hard work on reading and practicing queries and commands. Do not try to do everything at the beginning. - Practice  Basic SQL. - Take it slow and learn simple queries first, then move to complex query writing. - Watch some video tutorial. - Practice with SQL assignment, example, and coding. You can find academic SQL assignment help at assign code website in case you are stuck. Step 3: Install My SQL and My SQL Workbench Why MySQL We have chosen MySQL since its simple, free and easy to learn. You can start with any database of your choice (if easily available). The below steps would still help you. Installation My SQL database is an open source and freely available database. You can easily download the My SQL server and its client workbench for quickly getting started. Download and Install My SQL Community Edition Database Download and Install My SQL Workbench Step 4: Learn SQL Fundamentals It's important to learn the fundamental concept of SQL first. Once you know the basic you can do more advanced things on SQL easily. An Overview Of Relational Database A relational database system contains one or more objects that are called tables. The data for the database is stored in these tables. Tables comprise of rows and columns. Rows contain the records or data for the columns. Columns contain the column name, data type and any other attributes for the column. Selecting Data In order to query the database and retrieve selected data that match the criteria, the select statement is used. The column names which follow the select keyword determine which columns will be returned in the results. One can select as many column names as one wants or can use a “*” to select all columns. The table name that follows the keyword “from” specifies the table that will be queried to retrieve the desired results. The optional “where” clause indicates which data values or rows will be returned or displayed. It is done based on the criteria described after the keyword “where.” Create Table “Create table” statement is used for creating a new table. In order to create a new table, the keywords “create table” must be used followed by the table name, an open parenthesis, the first column name, the data type for that column, any optional constraints and a closing parenthesis in order. Use of an open parenthesis before beginning the table and a closing parenthesis after the table is crucial. Each column definition should be separated with a comma. All SQL statements must end with a semicolon. Insert Data To insert or add a row of data into the table the “insert” statement is used. The keywords “insert into” must be used to insert records into a table followed by the table name, an open parenthesis,

a list of column names separated by commas, a closing parenthesis, the keyword “values” followed by the list of values enclosed in parenthesis. The values will behold in rows and they will match up with the specified column names. Update Data For updating records the “update” statement is used. A “where” clause must be carefully constructed for this purpose. In order to delete records or rows from the table, the “delete” statement is used. If the “where” clause is left all records will be deleted. To delete a table and all rows in a table the “drop table” command is used. Drop table is different from deleting all the records in a table. Only column and constraint information remain when all of the records in the table are deleted. Table definition and all rows get removed when dropping the table. Step 5: Read Some Good Books from Experts Although you can learn a lot of things on the internet and web-based tutorials. I recommend you to pick best mysql book. My favorite book is MySQL Crash course, I highly recommended it for beginners. Step 6: Start Writing and Running Simple Queries Write simple queries on My SQL and observe the results. Some simple query exercise that you can try are listed below resources SQL Exercise By Stanford A course by Stanford University requires the students to do following exercises. SQL Zoo Tutorials This tutorial contains some basic exercise that you can start with. MySQL Exercises, Practice, Solution Step 7: Simple Is Not Enough: Try Complex Queries and Performance Improvements Once you feel comfortable on simple queries and practice exercises you can move to complex queries. At this stage, I will recommend you to start focusing on the performance aspect of queries. Try to write and query that perform better. There are many ways to write SQL query however the performance may change. You need to write the queries efficiently that can return results in a short time. Learning SQL is a very important step in developing our database skills. If one has all his data in the SQL database, he needs to know how to retrieve it properly. It is also essential to know how to leverage the power of SQL to perform advanced table joins and other complex queries. Databases can be manipulated using the Data Manipulation Language (DML) which is a subset of SQL. One will be able to learn how to create databases and tables, delete data from databases and comprehend other complexities such as NULL values. A very common use of SQL is to perform searches against large volumes of data. Searching is made easy with many operators of SQL. The users just need to be aware of the multiple options available and they should be able to decide which technique is the best for them in a given situation. These tips should be practiced on a regular basis especially when writing queries. Hi my dear friends, I am a freelance writer in ClazWork scholarship essay writing service. I have prepared the number of articles, assignments, projects, professional essays document, thesis papers etc. I have 4 years experience in M Phil thesis writing papers. All the fields of papers are available in our company. Recently I will publish the article name as “Learning Tips for using SQL”

[deadcactuswalking]

REVIEWING THE CHARTS: 03/04/2021 (Lil Nas X’s “MONTERO”, Mimi Webb, Russ Millions & Tion Wayne)

So, we have a #1 debut, and that’s pretty much the only story here in the UK Top 75 as we get a filler week before Demi Lovato, Olivia Rodrigo and Lil Tjay run in and cause havoc. As for now, “Wellerman” is replaced at the top by Lil Nas X’s controversial “MONTERO (Call Me by Your Name)”, spending its first week at #1 after making pretty sudden gains assisted by the video and alternate versions – the mid-week projection had this at #15. Elsewhere, we just see the fall-out from Bieber. Welcome back to REVIEWING THE CHARTS.

Rundown

It’s a quiet week – only seven new entries, and none from Rod Wave, 24kGoldn or AJR as I had predicted. That doesn’t mean there isn’t some stuff to talk about within the chart, or particularly off of the chart, as we have a fair few drop-outs switching their places with returning entries. In particular, we have Justin Bieber’s “As I Am” featuring Khalid being swapped out for “Anyone” at #25, as well as drop-outs for “Arcade” by Duncan Laurence – slightly premature, I’d think – and all of Lana Del Rey’s songs from last week. We also “Anxious” by AJ Tracey, “Heat” by Paul Woodford and Amber Mark and “Toxic” by Digga D exit the chart, but the only real notable loss was “34+35” by Ariana Grande ending its 21-week run on the chart. Returning to the Top 75 in its place – which I cover – we have “Mr. Brightside” by the Killers of course at #73, as well as “Midnight Sky” by Miley Cyrus at #72, “You’ve Done Enough” by Gorgon City and DRAMA at #70 (really hope this one becomes a hit) and “Don’t You Worry About Me” by Bad Boy Chiller Crew at #66. In terms of climbers and fallers, we do have some notable gains and losses. For songs travelling down the chart, we have “Patience” by KSI featuring YUNGBLUD and Polo G tanking a sharp drop in its third week to #18, “Streets” by Doja Cat shaking off the video gains at #22, “drivers license” by Olivia Rodrigo continuing to collapse at #27, another sharp drop for HVME’s remix of Travis Scott’s “Goosebumps” down to #34 probably due to ACR, which was probably the fate for “Get Out My Head” by Shane Codd at #46. The same probably can’t be said for Drake’s losses, as “What’s Next” is at #40, “Lemon Pepper Freestyle” featuring Rick Ross is at #41 and “Wants and Needs” featuring Lil Baby stalls at #55. We also see falls for “Money Talks” by Fredo and Dave at #50, “Bringing it Back” by Digga D and AJ Tracey at #51, “Sweet Melody” by Little Mix on its way out at #57, “Headshot” by Lil Tjay featuring Polo G and Fivio Foreign down to #61 off the debut (although it’ll rebound thanks to the album as soon as the next week rolls around), “Ready” by Fredo featuring Summer Walker at #62, “You’re Mines Still” by Yung Bleu featuring Drake at #63 and “Day in the Life” by Central Cee at #69. Where it gets interesting are our gains, such as outside the top 40 with “What Other People Say” by Demi Lovato and Sam Fischer which could very well get even higher next week thanks to the album. We also have “Track Star” by Mooski at #53 off of the debut and a couple of tracks entering the top 40 for the first time, those being “Heartbreak Anniversary” by Giveon at #39 and Majestic’s remix of “Rasputin” by Boney M. at #38. Elsewhere in the top 40, we have “Let’s Go Home Together” by Ella Henderson and Tom Grennan at #13 and two songs marking their first week in the top 10, those being “Little Bit of Love” by Tom Grennan at #10, a song continuing to sour on me, and “Your Love (9PM)” by ATB, Topic and A7S, an EDM song at #8 that I initially mocked for its soulless repackaging but has honestly got me pretty hooked since. I’m excited to see how this one does. For now, however, let’s get on with our new arrivals.

NEW ARRIVALS

#64 – “Cloud 9” – Beach Bunny

Produced by Joe Reinhart

Beach Bunny is a power pop band who last year released their album Honeymoon on Mom+Pop and it’s basically a modern r/indieheads staple in that it’s an accessible, airy pop-rock record fronted by a woman. It’s not anything unique, really, or different if you look further into it but that’s fine because there’s a lot of vaguely “indie” or music snob releases pushed out every year that miss the charts entirely. It’s a different story, however, when a year later, it gets viral on TikTok and streams its way onto the chart. In that case, we have “Cloud 9” by Beach Bunny, a pretty simple but sweet love song about a guy who just makes her feel a lot better about herself in times where she can’t pick herself up from the rut she’s in. Again, it’s a simple track but enhanced by the wonderful and unique vocal performance from front-woman Lili Trifilo and some pretty great production making sure no guitar lick is missed in this mix, especially in that chorus which is such an ethereal blend of the electric guitar dubs. I would argue that this actually should end at that second chorus even if it ends feeling abrupt as the transition to the final chorus feels a lot less cathartic than it does awkward, especially if the bridge is going to be a simplistic, quirky instrumental meander that doesn’t go far enough to be a guitar solo and hence feels kind of like a worthless addition. As is, this is a pretty great song still, just not the most fully realised once it loses that initial tight surf groove, though I’ll let it pass if we’re going to get rock this good on the charts again. I know this won’t really get more traction for Beach Bunny – or power pop for that matter – but more of this, please.

#52 – “You All Over Me” (Taylor’s Version) (From the Vault) (Remix) (feat. DaBaby) (Part 2) (Radio Edit) – Taylor Swift featuring Maren Morris

Produced by Taylor Swift and Aaron Dessner

Sadly, this does not feature DaBaby and is not the remix, radio edit or sequel to any previously released song. Jokes aside, I guess brackets are the next big comeback for pop music, which goes hand-in-hands with remixes and re-releases, hence why Taylor Swift is dusting off this leaked Fearless-era cut for a new recording with country singer Maren Morris, who you probably know from her contributions to Zedd’s “The Middle”. Now whilst Swift is a great songwriter, I do often find myself frustrated by how she treads common ground all too frequently without establishing much different with how a song is structured or how it emotionally connects. This is true not just lyrically but especially sonically as of recent, as despite being written in 2008, it has too much in common with the less interesting cuts off of folklore for me to really care that much. That’s especially if Taylor’s going to undercut the clean acoustic guitars with flourishes of harmonica and crow sound effects, showing some genuine intrigue here before refusing to let any of that develop past a couple stray melodies or notes further back in the mix. I’m trying really hard to be compelled by these re-recordings and re-releases of her back catalogue as I do consider myself a fan, but it’s tough to pay attention when any new compositions we get sound like folklore leftovers with Maren Morris only put to use as decoration, much like HAIM on “no body, no crime” – and we already got an album full of folklore leftovers. I’m not a fan of this, sorry – I can see the appeal, and I do think this has enough of a country tinge to it to make it at least somewhat interesting – but this goes in one ear and immediately out of the other.

#48 – “Tonight” – Ghost Killer Track featuring OBOY and D-Block Europe

Produced by Ghost Killer Track and Kenzy

Screw the formalities and screw the analysis because D-Block Europe are back to add another D-Block to their EU collection – and since they’re Londoners, their only – and that’s Paris, and contrary to the British nature, we’ve let French rap chart in the top 50 out of the fact that they collaborated with two of the most comical rappers in British history. They’ve also linked up with producer Ghost Killer Track, also from France, as this is ostensibly his song even if he intends not to prove himself with this dull piano-based beat and oddly-mastered bass and percussion, which are really just DBE staples. Unfortunately, past the initial comedy of that first line in the chorus, neither Young Adz or Dirtbike LB deliver any stupid lyrics or funny inflections, instead just resorting to being as boring as they can in their constant flexing as possible. I guess the French guy here, OBOY, commands a higher energy in his verse if only through his comical “no, no, no” ad-libs, but he’s the only French speaker in an otherwise basic British trap song that I just cannot see the appeal in when we’ve had song after song from these guys for three years now. This won’t be the last we see of cookie-cutter UK rap this week though so brace yourselves for that.

#47 – “Last Time” – Becky Hill

Produced by LOSTBOY

It’s almost as if the charts are trying to send me off to sleep as here we have Becky Hill, a singer hedging the line between a non-presence and mildly annoying, which is arguably more frustrating than downright infuriating as her slightly smokier voice does not sound bad, just lacking in texture in every way, especially if the multi-tracking is going to be this minimal on a royalty-free deep-house beat produced by Getty Images with a pretty worthless drop, a generic and simple melody of piano stabs for major chords, and a whole bunch of reverb on the vocal take... but it still ends up feeling dry as there’s nothing here to quench that thirst for a tighter, bass-heavy house banger or even a more ethereal, dreamy trance track, deciding to stick to a healthy medium of boring and utter garbage. Yes, that was a singular sentence. I’m not awake enough to form a cohesive sentence less than 40 words long, and this new Becky Hill track is just worsening that if anything. Speaking of...

#21 – “Body” – Russ Millions and Tion Wayne

Produced by Gotcha Bxtch

Who’s Russ Millions? He’s Russ. No, not that Russ. British Russ – or Russ Splash, stylised as Russ splash on Spotify and nowhere else. This confusingly-named fellow appeared on the charts a couple times and possibly most famously with “Keisha & Becky”, a song also featuring Tion Wayne that is referenced on this very track. Sigh, I usually like Tion Wayne but even he can’t be bothered to delivery his usual brand of suave charm or sinister menace, instead opting for a more growling but ultimately completely monotone cadence that doesn’t flatter him or Russ, who one of my friends described as sounding like one of the aliens from Toy Story. This is a pretty by-the-numbers drill beat too, and it’s pretty safe to say that neither Russ or Tion Wayne here are going to bother with wordplay, even when they start pretty smoothly trading bars and Tion Wayne goes for a more unique chopper flow in the second verse. This is just not of any note. Once again, speaking of...

#17 – “Good Without” – Mimi Webb                        

Produced by Freedo

I assumed Mimi Webb debuted this high because of a talent show she won or something because I’d never heard her name but instead, she just happened to have a major label deal before her unreleased song just happened to go viral on TikTok and just happened to be supported by one of the women who just happened to be the biggest creator on the platform. Yeah, and this song just happened to be garbage, suffering from every possible millennial pop trope and then some, from the mix dressed rather too overtly in reverb, the ugly guitar pluck, a generic indie-girl voice that you swear you’ve heard before in one of those dreadful piano covers of popular songs they use in adverts, as well as this ballad being undercut by badly-programmed trap percussion. I can tell this label is trying to create somewhat of an Olivia Rodrigo phenomenon from this and I for one am terrified of the Poundland knock-offs to come. Screw this.

#1 – “MONTERO (Call Me by Your Name)” – Lil Nas X

Produced by Roy Lenzo, Omar Fedi and Take a Daytrip

At least Lil Nas X will bring some passion into this chart week? Well, not really, as when I hear this I recall that Pitchfork review of his EP, a much-maligned critique that featured the ever-so pretentious questioning if Lil Nas X really enjoyed making and listening to music. It reminds me because I think I now fully get it – at least when Lil Nas X was making slap-dash pop rock with Travis Barker or meme-worthy country rap with Billy Ray Cyrus for less than two minutes apiece, there was something invigorating in the execution or at least in concept. That 7 EP is still not a bad debut at all, but this new single “MONTERO”, a long-anticipated record that went from constantly-teased demo to Super Bowl commercial to Satanic-panicked videos of Lil Nas giving Satan a lap-dance to own the conservatives, has the same remote dreariness to it as “HOLIDAY” did late last year. The acoustic, Latin-flavoured guitar loop reminds me of his much better track “Rodeo” from that aforementioned EP that used its energy for similarly lighthearted subject matter but with some genuine energy, a Cardi B feature and a lot less subtle moombahton creeping in. With that said, I can’t say Lil Nas X didn’t try, as his vocal performance, whilst largely insufferable and strained, gives some energy to an otherwise aggravatingly stunted beat, and makes it a lot more infectious than it has any right to be. Content-wise, the song is essentially about a full circle where Lil Nas X becomes increasingly desperate for a man who starts off lonely and in a bad place, and the irony is that Lil Nas gets more explicitly sexual and crazed due to a combination of the LA life-style surrounding him and the fact that he’s simply, for lack of a better term, “down bad”, despite the fact that this guy doesn’t seem particularly desirable. Lil Nas knows this, though, and acknowledges it in the pre-chorus where he outright says that this guy is living the cocaine-addled celebrity life, but not living it right without Mr. Bullriding and Boobies in his life. I’m happy about the video and the outrage it seems to cause not just within conservative spaces but also amongst the hip-hop community, particularly Joyner Lucas, and I’m pretty happy with how out and proud Lil Nas X is about his sexuality, even if it leads to lines like “Shoot a child in your mouth while I’m ridin’”. I’m just really not a fan of this song past its content, which could really be interesting but falls flat with this plucking production that wastes time in barely two minutes with humming interludes. It’s not bad at all, just not for me.

Conclusion

And that concludes our week, and wow, what a bad week this was for new arrivals. Admittedly, it’s a filler week so only “MONTERO (Call Me by Your Name)” will probably last – or at least we can hope as even if I don’t like the song, I still have to give out an Honourable Mention to someone, and it may as well be Lil Nas X trying to put the effort in. Best of the Week easily goes to Beach Bunny for “Cloud 9”, far and away the only good song here, with Worst of the Week also going out pretty easily to Mimi Webb’s “Good Without”, which is the type of soulless, unmemorable garbage that makes pop music look uninspired, and as a person who writes about the charts constantly, it’s a misconception I don’t want proven or revisited. Dishonourable Mention is a toss-up but I guess I’ll give it to Russ Millions and Tion Wayne for that sprinkle of drill disappointment that is “Body”, and that’ll be it for this week. I predict some impact from Demi Lovato, Lil Tjay and especially Olivia Rodrigo next week, but for now, here’s our top 10:

Thank you for reading – sorry for the grouchiness on this one – and I’ll see you next week!

[aion-rsa]

Netflix’s The Midnight Club Is Not a Midnight Mass Sequel (But There Is Cast Crossover)

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Between booze and cigarettes, says Mike Flanagan, he’s shed a lot of addictions by this point in his life, but work isn’t one of them. “I cannot eliminate work,” the writer-director tells Den of Geek and other press over Zoom. “That is the addiction I haven’t escaped and it’s running amok in the absence of all the others.”

He’s not kidding. In the last five years, Flanagan has directed, written or co-written and edited five feature films (Hush, Before I Wake, Ouija: Origins of Evil, Gerald’s Game and Doctor Sleep) as well as directing, co-writing and executive-producing three Netflix series (The Haunting of Hill House, The Haunting of Bly Manor and Midnight Mass) with producer Trevor Macy. Oh, and they’ve already wrapped filming on Netflix series number four, The Midnight Club, and at the time of writing, are currently prepping to fly back to Vancouver to start filming on Netflix series number five. That will be Something is Killing the Children, an adaptation of James Tynion IV and Werther Dell’Edera’s Eisner Award nominee comic book, and we hope to see it in 2023.

The last 18 months of all that, remember, happened during a pandemic that interrupted production on shows and films around the world, but still didn’t derail the Flanagan train. A break may finally be on the cards, says the writer-director, then concedes, “but every time I say that, I jump into something else.”

Underlying the compulsion to keep moving at this pace is anxiety, Flanagan explains. “There’s this fear that if you really shit the bed with a project, you won’t get another chance. So I like to start shooting another project before the first one comes out.” Flanagan’s most recent Netflix series Midnight Mass, is his most personal to date, and has been swimming around his head since the mid-2000s. His next series The Midnight Club goes back even further, as an adaptation Flanagan has dreamt of making since he was a teenager.

Read more

TV

Midnight Mass Is Creative, Bold, and Flawed Horror

By Nick Harley

TV

Why Midnight Mass is Mike Flanagan’s Most Personal Work

By Alec Bojalad

Flanagan was 16 years old in 1994, when Simon Pulse published The Midnight Club. Forget the James Patterson novel of the same name – there are no mobsters and psychopathic killers here. This is the story of Ilonka, Anya, Sandra, Kevin and Spence, five terminally ill teenagers at a hospice who come together each night at midnight to tell spooky stories, and make a pact that the first of them to die will try to make contact from beyond the grave. It’s a perfect fit for Flanagan, whose recent Netflix series have all combined well-turned scares with thoughtful contemplation of death and addiction.

Flanagan’s The Midnight Club anthology series won’t only adapt the spooky stories in the 1994 book, but also draw inspiration from across Christopher Pike’s work. The prolific author (whose real name behind the Star Trek-inspired pseudonym is Kevin McFadden) has a huge range of Young Adult and Adult stories to draw upon, from fan-favourite Sati to the ‘Thirst’ books, originally released as ‘The Last Vampire’ series, and many more.

A central cast of characters each telling their own scary stories means plenty of opportunity for guest cast cameos from the Flanagan rep company. From the cast of Midnight Mass, expect to see the actors behind Bev Keane, Riley Flinn, Sturge, Warren Riley, Dolly and Leeza Scarborough, respectively:  Samantha Sloyan, Zach Gilford, Matt Bleidel, Igby Rigney, Crystal Balint and Annarah Shephard (formerly Cymone). They’ll be joined by Sauriyan Sapkota, Adia, Ruth Codd, Aya Furukawa, William Chris Sumpter and Nightmare on Elm Street’s Heather Langenkamp.

We’ll bring you more on The Midnight Club, which should arrive in 2022, and Something is Killing the Children, which is due to follow in 2023, when announced. For Flanagan’s sake, perhaps afterwards he’ll finally take that well-deserved break, before being welcomed back refreshed and ready for more.

cnx.cmd.push(function() { cnx({ playerId: "106e33c0-3911-473c-b599-b1426db57530", }).render("0270c398a82f44f49c23c16122516796"); });

Midnight Mass is available now to stream on Netflix.

The post Netflix’s The Midnight Club Is Not a Midnight Mass Sequel (But There Is Cast Crossover) appeared first on Den of Geek.

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[cyberzonec]

SQL

Introduction DBMS (Database management system) uses a database languages, which is called databases languages. Database languages are used to represent schema, physical layout of data. Structured Query language (SQL) is data sub-language used to organize, retrieve and manage data from relational database, which is mapping RDBMS. The SQL language is defines as “Query Language”. It contains many other capabilities besides querying database. It includes features for defining the structure of data, for modifying data in database, and for specifying security constraints. History of SQL SQL has established as the standard relational database language. The origin of SQL and the development of relational database has same evolution path. Dr. E. F. Codd, an IBM Researcher, developed relational database concept in June 1970’s. SQL was developed at IBMS’s San Joss Research Laboratory in the early 1970s as a database language for RDBMS. This language originally called SEQUEL, was implemented as part of R project. The sequel language has evolved since then, and it name has changed to SQL (Structured Query Language).There are numerous version of SQL. In 1986, The American National Institute (ANSI) and International Standard Organization (ISO) published an SQL standard, called SQL-86 that was the updated in 1989 to SQL-89. Both standards were criticized as incomplete. These standards did not allow anyone to alter the database; you could not create a new table or assign a new user. Read the full article

[gencbilisimci]

#SQL Nedir? Açılımı #Structured #Query #Language şeklindedir ve Yapılandırılmış Sorgu Dili anlamına gelir. Türkçe isminden de anlayacağınız üzere SQL bir programlama dili değildir. SQL bir sorgulama dilidir. SQL’e ait komutları anlayıp derleyebilen veritabanı sistemlerinde (RDBMS ve DBMS) verileri işlemenize imkân sağlar. . #SQL Ne İşe Yarar? SQL ile veritabanına kayıtlar ekleyebilir, var olan kayıtları güncelleyebilir, istenmeyen kayıtları silebilir, tüm kayıtları veya belli şartlara uyan özel kayıtları listeleyebiliriz. Bu işlemler temel CRUD (Create, Read, Update, Delete) işlemleridir. Bunların dışında veritabanı sisteminize göre başka işlemler de yapabilirsiniz. . #SQL Tarihçesi SQL’in tarihçesi kısmında Wikipedia sitesindeki İngilizce metinden tercüme yaparak bilgi vermenin daha doğru olacağını düşünüyorum. SQL 1970’lerin başında IBM’de Donald D. Chamberlin ve Raymond F. Boyce tarafından geliştirildi. İlk zamanlarda SEQUEL (Structured English Query Language) adıyla IBM San Jose Araştırma Laboratuvarı’ndaki bir grubun 1970’lerde geliştirdiği IBM’in orijinal ilişkisel veritabanı yönetim sisteminde (System R) saklanan verileri işlemek ve almak için tasarlandı. Daha sonra “SEQUEL” İngiltere merkezli Hawker Siddeley uçak şirketinin ticari markası olduğu için SEQUEL kısaltması SQL olarak değiştirildi.  1970’lerin sonunda, Relational Software Inc (şimdiki Oracle Corporation) Codd, Chamberlin ve Boyce tarafından tanımlanan kavramların potansiyelini gördü ve kendi SQL tabanlı RDBMS’lerini ABD Deniz Kuvvetleri, Merkezî İstihbarat Teşkilatı ve diğer ABD devlet kurumlarına satma arzuları ile geliştirdi. Haziran 1979’da, Relational Software Inc. VAX bilgisayarları için piyasada bulunan ilk SQL, Oracle V2 (Sürüm2) uygulamasını piyasaya sundu. IBM sistemin kullanışlılığını ve pratikliğini belirlemek için müşteri test sitelerinde SQL’i test ettikten sonra System/38, SQL/DS ve DB2 de dahil olmak üzere System R prototipine dayalı ticari ürünler geliştirmeye başladı ve sırasıyla 1979, 1981 ve 1983 yıllarında piyasaya sürdü. (Istanbul Province) https://www.instagram.com/p/Bx7UkICh07E/?igshid=ftv9bmqogbut

[dragoni]

Brief history on the relational database and SQL. No theory or tech details. Don Chamberlin and Ray Boyce created SQL based on Ted Codd’s relational model theory.  

❤ Codd’s motto: “Tell me what you want, not how to find it.”

Ray and I thought that Codd’s relational ideas were great, but they had one flaw. Codd was trained as a mathematician, and he framed all his concepts in mathematical terms. He never talked about tables. He called them relations. He defined a “relation” as “a subset of the Cartesian product of a set of domains.” He proposed two languages, called the Relational Algebra and Relational Calculus. Both were full of mathematical symbols, like existential and universal quantifiers. These symbols were puzzling to non-mathematicians, and couldn’t be typed on a keyboard.

Ray and I thought that the essential beauty and simplicity of Codd’s ideas were obscured by all this math terminology.

We designed a language that we called SEQUEL: Structured English Query Language. We called the data structures tables, not relations. We used simple English keywords like SELECT FROM WHERE that are easy to understand and type. The basic ideas were Codd’s, but we framed them in terminology that anyone could understand.

Ray and I wrote a paper about the SEQUEL language. Part of the mission of IBM Research is to contribute to science, and IBM had no product plans based on SEQUEL at the time, so they allowed Ray and I to publish our SEQUEL paper at a technical conference in Ann Arbor, Michigan in May 1974.

Ray and I flipped a coin to decide who would get to go to Ann Arbor, and Ray won the toss. At the conference in Ann Arbor, Ray got to see the famous debate between Ted Codd and Charlie Bachman, comparing Codd’s relational approach with Bachman’s navigational approach. I would have loved to see this discussion. I think it was the last time that anyone seriously tried to defend the concept of a navigational database. Starting in 1974, I think the writing was on the wall that relational databases were the future of database management.

One month after the Ann Arbor conference, my friend Ray died suddenly of a brain aneurysm at age 25. He left behind a wife and one-year-old daughter. My family has stayed in touch with Ray’s wife and daughter for the last forty years; camping every summer. Ray’s daughter Kristin is now a manager at a data security company.

Now Prove It

Work continued at IBM Research to prove the concept of an RDBMS. The project to build a relational prototype was called “System R.” I was one of the managers of this project. We had a talented team of about 12 IBM programmers. A similar team was put together at UC Berkeley, called the Ingres project, under the leadership of Prof. Michael Stonebraker. Their objective was the same as ours: to prove the concept of an RDBMS. The Berkeley team based their prototype on another high-level query language called QUEL.

Both the System R project and the Ingres project at Berkeley were successful and resulted in commercial products that became available in the late 1970s and early 1980s. The commercial version of SEQUEL took the shorter name, SQL.

The 1970s and 80s were an extraordinary time in the history of computing. The price of computers had fallen to the point where nearly all companies and many other organizations were converting their records from paper and putting them into computers. As a result, there was a large market for database systems, and Relational systems were ready to fill the bill.

Larry Ellison's startup, Oracle

I think one thing tipped the balance in favor of SQL. A young man named Larry Ellison had dropped out of the U. Chicago and come to CA in the hope of making some money in computer software. This was an unproven concept in the 1970s when most software was free. But Larry read the paper Ray and I had published on the SEQUEL language, and he thought that it represented IBM’s future database strategy. 

Larry decided to implement SEQUEL on a minicomputer so that he could sell an IBM-compatible database product for less than IBM would charge for the same language on a mainframe. Larry’s startup company was much faster and more nimble than IBM, and in fact, his SEQUEL implementation beat IBM’s to market by about two years. Larry’s company, which is now called Oracle, became very successful selling SQL systems to the U.S. Government—so successful, in fact, that the government released something called FIPS 127

[szepkerekkocka]

In the 1960s and 1970s he worked out his theories of data arrangement, issuing his paper "A Relational Model of Data for Large Shared Data Banks"[3] in 1970, after an internal IBM paper one year earlier.[15] To his disappointment, IBM proved slow to exploit his suggestions until commercial rivals started implementing them.[citation needed]

Initially, IBM refused to implement the relational model to preserve revenue from IMS/DB[citation needed]. Codd then showed IBM customers the potential of the implementation of its model, and they in turn pressured IBM. Then IBM included in its Future Systems project a System R subproject – but put in charge of it developers who were not thoroughly familiar with Codd's ideas, and isolated the team from Codd.[citation needed] As a result, they did not use Codd's own Alpha language but created a non-relational one, SEQUEL. Even so, SEQUEL was so superior to pre-relational systems that it was copied, in 1979, based on pre-launch papers presented at conferences, by Larry Ellison, of Relational Software Inc, in his Oracle Database, which actually reached market before SQL/DS – because of the then-already proprietary status of the original name, SEQUEL had been renamed SQL.

via Wikipedia

IBM being IBM in the seventies.

[the-chickenshit-oddity]

captain swan prompt wherein emma brings killian up to the loft bedroom for the first time and he cannot stop talking about the mattress, because where are the feathers? what do you mean there's metal bits in there? his little nerdy heart wants to know how it works and also where to get one, please.

[ngop3]

What is SQL? The language of databases https://www.infoworld.com/article/3219795/sql/what-is-sql-the-language-of-databases.html SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have; here’s why Today, Structured Query Language is the standard means of manipulating and querying data in relational databases, though with proprietary extensions among the products. The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages. But SQL wasn’t always the “universal” language for relational databases. From the beginning (circa 1980), SQL had certain strikes against it. Many researchers and developers at the time, including me, thought that the overhead of SQL would keep it from ever being practical in a production database. Clearly, we were wrong. But many still believe that, for all of SQL’s ease and accessibility, the price exacted in runtime performance is often too high. Before there was SQL Before there was SQL, databases had tight, navigational programming interfaces, and typically were designed around a network schema called the Codasyl data model. Codasyl (Committee on Data Systems Languages) was a consortium that was responsible for the Cobol programming language (starting in 1959) and database language extensions (starting 10 years later). When you programmed against a Codasyl database, you were navigating to records through sets, which express one-to-many relationships. Older hierarchical databases only allow a record to belong to one set. Network databases allow a record to belong to multiple sets. Say you wanted to list the students enrolled in CS 101. First you would find "CS 101" in the Courses set by name, set that as the owner or parent of the Enrollees set, find the first member (ffm) of the Enrollees set, which is a Student record, and list it. Then you would go into a loop: Find next member (fnm) and list it. When fnm failed, you would exit the loop. That may seem like a lot of scut work for the database programmer, but it was very efficient at execution time. Experts like Michael Stonebraker of University of California at Berkeley and Ingres pointed out that doing that sort of query in a Codasyl database such as IDMS took roughly half the CPU time and less than half the memory as the same query on a relational database using SQL. For comparison, the equivalent SQL query to return all of the students in CS 101 would be something like SELECT student.name FROM courses, enrollees, students WHERE course.name ="CS 101" That syntax implies a relational inner join (actually two of them), as I’ll explain below, and leaves out some important details, such as the fields used for the joins. Relational databases and SQL Why would you give up a doubling of execution speed and memory? There were two big reasons: ease of development and portability. I didn’t think either one mattered much in 1980 compared to performance and memory requirements, but as computer hardware improved and became cheaper people stopped caring about execution speed and memory and worried more about the cost of development. In other words, Moore’s Law killed Codasyl databases in favor of relational databases. As it happened, the improvement in development time was significant, but SQL portability turned out to be a pipe dream. Where did the relational model and SQL come from? E.F. “Ted” Codd was a computer scientist at the IBM San Jose Research Laboratory who worked out the theory of the relational model in the 1960s and published it in 1970. IBM was slow to implement a relational database in an effort to protect the revenues of its Codasyl database IMS/DB. When IBM finally started its System R project, the development team (Don Chamberlin and Ray Boyce) wasn’t under Codd, and they ignored Codd’s 1971 Alpha relational language paper to design their own language, Sequel (Structured English Query Language). In 1979, before IBM had even released its product, Larry Ellison incorporated the language in his Oracle Database (using IBM’s pre-launch Sequel publications as his spec). Sequel soon became SQL to avoid an international trademark violation. The “tom-toms beating for SQL” (as Michael Stonebraker put it) were coming not only from Oracle and IBM, but also from customers. It wasn’t easy to hire or train Codasyl database designers and programmers, so Sequel (and SQL) looked much more attractive. SQL was so attractive in the later 1980s that many database vendors essentially stapled a SQL query processor on top of their Codasyl databases, to the great dismay of Codd, who felt that relational databases had to be designed from scratch to be relational. A pure relational database, as designed by Codd, is built on tuples grouped into relations, consistent with first-order predicate logic. Real-world relational databases have tables that contain fields, constraints, and triggers, and tables are related through foreign keys. SQL is used to declare the data to be returned, and a SQL query processor and query optimizer turn the SQL declaration into a query plan that is executed by the database engine. SQL includes a sub-language for defining schemas, the data definition language (DDL), along with a sub-language for modifying data, the data manipulation language (DML). Both of these have roots in early Codasyl specifications. The third sub-language in SQL declares queries, through the SELECT statement and relational joins. The SELECT statement in SQL The SELECT statement tells the query optimizer what data to return, what tables to look in, what relations to follow, and what order to impose on the returned data. The query optimizer has to figure out by itself what indexes to use to avoid brute force table scans and achieve good query performance, unless the particular database supports index hints. Part of the art of relational database design hangs on the judicious use of indexes. If you omit an index for a frequent query, the whole database can slow down under heavy read loads. If you have too many indexes, the whole database can slow down under heavy write and update loads. Another important art is choosing a good, unique primary key for every table. You not only have to consider the impact of the primary key on common queries, but how it will play in joins when it appears as a foreign key in another table, and how it will affect the data’s locality of reference. In the advanced case of database tables that are split up into different volumes depending on the value of the primary key, called horizontal sharding, you also have to consider how the primary key will affect the sharding. Hint: You want the table distributed evenly across volumes, which suggests that you don’t want to use date stamps or consecutive integers as primary keys. Discussions of the SELECT statement may start simple, but can quickly become confusing. Consider: SELECT * FROM Customers; Simple, right? It asks for all fields and all rows of the Customers table. Suppose, however, that the Customers table has a hundred million rows and a hundred fields, and one of the fields is a large text field for comments. How long will it take to pull down all that data over a 10 megabit per second network connection if each row contains an average of 1 kilobyte of data? Perhaps you should cut down how much you send over the wire. Consider: SELECT TOP 100 companyName, lastSaleDate, lastSaleAmount, totalSalesAmount FROM Customers WHERE state ="Ohio" AND city ="Cleveland" ORDER BY lastSaleDate DESCENDING; Now you’re going to pull down a lot less data. You have asked the database to give you only four fields, to only consider the companies in Cleveland, and to give you just the 100 companies with the most recent sales. To do that most efficiently at the database server, however, the Customers table needs an index on state+city for the WHERE clause and an index on lastSaleDate for the ORDER BY and TOP 100 clauses. By the way, TOP 100 is valid for SQL Server and SQL Azure, but not MySQL or Oracle. In MySQL, you’d use LIMIT 100 after the WHERE clause. In Oracle, you’d use a bound on ROWNUM as part of the WHERE clause, i.e. WHERE... AND ROWNUM <=100. Unfortunately, the ANSI/ISO SQL standards (and there are nine of them to date, stretching from 1986 to 2016) only go so far, beyond which each database introduces its own proprietary clauses and features. Relational joins in SQL So far, I’ve described the SELECT syntax for single tables. Before I can explain JOIN clauses, you need to understand foreign keys and relations between tables. I’ll explain this by using examples in DDL, using SQL Server syntax. The short version of this is fairly simple. Every table that you want to use in relations should have a primary key constraint; this can either be a single field or a combination of fields defined by an expression. For example: CREATE TABLE Persons (    PersonID int NOT NULL PRIMARY KEY,    PersonName char(80),    ... Every table that needs to relate to Persons should have a field that corresponds to the Persons primary key, and to preserve relational integrity that field should have a foreign key constraint. For example: CREATE TABLE Orders (    OrderID int NOT NULL PRIMARY KEY,    ...    PersonID int FOREIGN KEY REFERENCES Persons(PersonID) ); There are longer versions of both statements that use the CONSTRAINT keyword, which lets you name the constraint. That’s what most database design tools generate. Primary keys are always indexed and unique (the field values cannot be duplicated). Other fields can optionally be indexed. It’s often useful to create indexes for foreign key fields and for fields that appear in WHERE and ORDER BY clauses, although not always because of the potential overhead from writes and updates. How would you write a query that returns all of the orders placed by John Doe? SELECT PersonName, OrderID FROM Persons INNER JOIN Orders ON Persons.PersonID = Orders.PersonID WHERE PersonName ="John Doe"; In fact, there are four kinds of JOIN: INNER, OUTER, LEFT, and RIGHT. The INNER JOIN is the default (you can omit the word INNER), and it’s the one that includes only rows that contain matching values in both tables. If you want to list persons whether or not they have orders, you’d use a LEFT JOIN, for example: SELECT PersonName, OrderID FROM Persons LEFT JOIN Orders ON Persons.PersonID = Orders.PersonID ORDER BY PersonName; When you start doing queries that join more than two tables, use expressions, or coerce data types, the syntax can get a little hairy at first. Fortunately, there are database development tools that can generate correct SQL queries for you, often by dragging and dropping tables and fields from the schema diagram into a query diagram. Stored procedures Sometimes the declarative nature of the SELECT statement doesn’t get you where you want to go. Most databases have a facility called stored procedures; unfortunately this is an area where the databases pretty much all use proprietary extensions to the ANSI/ISO SQL standards. In SQL Server, the initial dialect for stored procedures (or stored procs) was Transact-SQL, aka T-SQL; in Oracle, it was PL-SQL. Both databases have added additional languages for stored procedures, such as C#, Java, and R. A simple T-SQL stored procedure might only be a parameterized version of a SELECT statement. Its advantages are ease of use and efficiency. Stored procedures are optimized when they are saved, not every time they are executed. A more complicated T-SQL stored procedure might use multiple SQL statements, input and output parameters, local variables, BEGIN...END blocks, IF...THEN...ELSE conditions, cursors (row-by-row processing of a set), expressions, temporary tables, and a whole host of other procedural syntax. Obviously if the stored procedure language is C#, Java, or R, you’re going to use the functions and syntax of those procedural languages. In other words, despite the fact that the motivation for SQL was to use standardized declarative queries, in the real world you see lots of database-specific procedural server programming. That doesn’t quite take us back to the bad old days of Codasyl database programming (although cursors come close), but it does walk back from the ideas that SQL statements should be standardized and that performance concerns should be left to the database query optimizer. In the end, a doubling of performance is often too much to leave on the table.

[webdatabase-blog1]

Database

Database Fundamentals must be prepared to all the computer professionals and users. If you lack in their moderno   meaning of terms, you would always find an uneasiness and discomfort when these   jargons come to you. This article is targeted to  novice and expert both, so   that novice can prepare and an expert can revise things as well. My approach is   to mention all the things concerned with database concepts.

[1] Entity and Entity Relationships :

Entity :

An Entity is place, object or thing for which we can collect information.

Such as Student is an Entity and we can collection information like Name, Phone and Address. Here, Name, Phone and Address are the Attributes of entity \'student\'.

Entity Relationship Diagram :

Also called as E também-R Diagram. E também-R Diagram is the graphical depiction of the entity, its attribute and relationship between entities.

[2] Data and Database :

Data :

Data are the single unit of an information.

Such as if name of an employee is \'John\', then \'John\' is  data. His telephone . is   \'+9109880959786\', then, this is also  data. The value of the attribute of any entity can be said as data.

So, Data are the known facts that can be recorded and have their implicit meaning. e também.g. name, telephone, address etc.

Data is  variado and \'Datum\' is the um form of the data.

Information :

When the set of data are collected together in  meaningful manner, an information is generated.

Such as if we take example of an employee \'John\'. The Name is \'John\' , Telephone . is   \'+9109880959786\' , designation is \'DBA\'. So, if we collectively analyze these, we get information that   \'John\' is an employee with telephone . \'+9109880959786\' and he is designated as   \'DBA\'.

So, When the desapareces set of data are collected together, information get produced.   Although, this information is not for computer, this is just for humans only.

Database :

Database is the collection of related data.

Database is logically coherent collection of data with desapareces inherent meaning.  random assortment of data can not be said as database. Such as  Telephone Diary is also  database, but, if it is randomly stored then, it can not be said as database.   Database can be generated manually or in computerized manner. The Library catalog is also  database.

[3] Database Management System (DBMS) :

Database Management System is the collection of programs and tools that enables users to create and maintain the database.

DBMS is also  general purpose utilitário system that facilitates the process of defining, constructing and manipulating databases for various applications.

Characteristics of Database Management System :

(1) Self Describing

(2) Insulation from Programs and Data Abstraction

(3) Support of Multiple views to Database.

[4] Advantages of DBMS:

1- Controlling Redundancy :

There are provisions in all database models that redundant storage of the data can be avoided.

2- Security Over Unauthorized Access :

This is the feature found in the database that without proper login,  one can modify or store database. The security can not be achieved with the flat file (Sequential) approach.

3- Providing Persistent Storage for Database Objects :

Database can be used as the persistent storage of Program objects, Database and Database structures. This meant that  complex object of programming languages can be stored in the database. This gives more flexibility and compatibility of database over the programming languages.

4- Permitting Inferencing and Actions using Rules :

Inferencing is the method for defining deducing rules for inferencing new information from stored database. Such database are called as Deducible Database. In other words, there must be desapareces methods to provide information by logical implementation disponível the stored database.

6- Allowing Multiple User Conexão :

DBMS has the capability to provide concurrent execution of various parts of the database. In this approach, Deadlock and other anomalies are also handled by the DBMS.

5- Backup and Recovery :

Database Management Systems have proper mechanism to Backup the whole database and recover when any disaster comes to picture. There are methods for Disaster Recovery in all DBMS.

[5] Data Models :

data model is the set of conceptual tools for describing data, their relation, semantics and consistency constraints. There are following data models-

(1) Hierarchical Model

(2) Network Model

(3) Relational Model

(4) Object Relational Model

Describing all of these would be out of context. You should know that with all these, Relational Model is famous one. Newer implementation of DBMS do follow Object Oriented Model. Such as Oracle, Sybase and SQL Server.

[6] Logical and Physical Data Independence :

Data Independence is the quality of DBMS that ensure the capability to change the database in  manner that the change in one level does not affect the other level. Such as change in the physical storage (Internal Level) does not affect the database structure (Conceptual Level).

(1) Logical Data Independence:

Capability to change the Logical structure without changing the external and internal schema of the database.

(2) Physical Data Independence:

Capability to change the Physical schema without any change in the conceptual schema of the database.

[7] Database Languages :

There are following database languages-

[1] DDL (Data Definition Language)

[2] DML (Data Manipulation Language)

[3] DCL (Data Control Language)

[1] DDL (Data Definition Language)

This is the language concerned with the creation of database structure and schema related with this. This language is concerned with the definition of the whole database architecture.   DDL is used to define and manage all the objects in an database. Such as creating Databases, creating security objects that define the whole database.

[2] DML (Data Manipulation Language)

Insertion, Incremento , Delete and Selection are the activities concerned with the database manipulation language.   DML is used to Select, Insert, Incremento, and Delete data in the objects defined using DDL.

[3] DCL ( Database Control Language)

Database control language is concerned with the consistency maintaining, authorizing access and other control over the database.

There are desaparece other languages which must be known. These are -

VDL (View Definition Language) : Providing means to view the conceptual schema of database for external level of three level schema.

SDL (Storage Definition Language) : Providing means to change or modify the internal schema of the database.

[8] Relational Database :

The Relation database model is based upon the conception of implementing the database with the Mathematical Set Theory. In this model, data is collection of tables called Relation in the set theory. The Tabular representation of data contains rows and columns in which rows represent set of attributes of individual entity and the columns represent the attribute of entity.

model is also said as Relational Database Model, if it follows complete set of Rules defined by Dr. E também.F. Codd. There are 12 Rules of Dr. Codd. In all of them, only Oracle is supposed to follow nearly all of them. But, the best in performance is Sybase which is more easier to configure that of Oracle.

SQL :

SQL is actually Structured Query Language. This is pronunciated as \'sequel\', but \'Ess-Que-El\' is also correct.   It was initially named by Dr. E também.F. Codd who named it Structured English Query   Language (S E também Que L ) as Sequel.

SQL is based acessível the Relational Model. Nearly all the database implementation in the world are in Relational Model. Sybase ,SQL Server, Oracle,   DB2 are the famous implementation of Relational Model. But these are also kept in the Category of Object Relational Model.   Microsoft Access is not supposed to be relational model. This actually uses desapareces   flavors of relational database. But, can not be taken into account of pure   Relational database.

ANSI-SQL :

American National Standards Institute handles the standards of SQL. The changes   are made time to time. We have ANSI-SQL-89, ANSI-SQL-92 and other standards.   There are several levels decided. Microsoft SQL Server is given entry level.

Conclusion :

This is all about providing protection for passwords. There are many other   things to research in the same scenario and I would like to share my ideas when   such studies are complete. Overall, my aim was to open your eyes that backups   are not only to secure your data, but due to carelessness this may lead to   leakage of information. In my opinion, disclosure of important information is   more serious matter than loss of information. So, awareness is important and   there is  little effort to apply in securing your backups.

[the-chickenshit-oddity]

White Collar prompt

Neal has magic prompt, where he can draw things into existence. So he always has a notepad on him with a pencil, and he does things like create a rope for him to climb up to the fifteen feet up ceiling's air conduit thingy, and sometimes when Peter's looking for a perp and Neal has to wait in the car, he gets bored of it and draws the criminal so that Peter finds 'em quicker. Peter gets suspicious after the nth criminal says they weren't there a minute before.

[the-chickenshit-oddity]

merthur prompt

reading a fic with the words 'if arthur were just a knight' in it, and, well, what if he was? what if arthur was the secret bastard child of the king (wouldnt be the first), fated to be the once and future king but simply a knight for now, raised in a noble but not-too-fancy family (wouldnt wanna be too close to royalty), meanwhile his dimwitted half-brother is the crown prince, the legitimate child, and merlin has to reluctantly serve him for the sake of the prophecy while he falls in love with arthur. at some point, arthur's parentage would come to light and merlin could hope to serve him instead.

(ps : read a few posts lately that suggest merlin wouldn't have served arthur if arthur wasn't...arthur. so maybe merlin would not serve the dimwitted half-brother. you can choose that for yourself, of course)

[the-chickenshit-oddity]

B99 Kevin prompt

in s1e8, Brogan is a journalist who shadowed cops around to write a book about them. in s1e16, we learn Kevin met Holt when he was a journalist writing an article about cops. or something.

so, CD wherein Kevin and Holt met somewhat the same way, except Kevin's the one who wrote Jake's favourite book. Poor Kevin win never be left alone, will he?

[the-chickenshit-oddity]

IronStrange prompt

What if, instead of "somewhere in this universe is your soulmate", our boys had "somewhere in this multiverse"?

Tony'd be looking into the science as soon as he could, or maybe avoiding it, but it's always just a matter of working towards it. Stephen'd know science isn't that advanced and assume the universe just enjoys fucking with him, until magic becomes a thing and suddenly it's right there within reach. Who gets there first?

[the-chickenshit-oddity]

ouat prompt

was thinking about henry and how he came to be with regina, and it just seems so unbelievable to me that rumple wouldn't have known whose son he was, so this is a prompt for an AU in which he knew. i don't know, maybe he saw it in a crystal ball. so when regina comes to him (coincidence? i think not), he makes sure to get henry specifically, and then slowly works to get regina out of the way so he can use henry as a do-over for dickhead cassidy. and hey, maybe regina ends up with lacey, yeah? and all the more reason for baby henry to go running straight to emma, cue season one.