![#Database Reel by @soul_in_code (verified account) - Deactivated one user. Promoted everyone to guest. 🚀
[programming, software engineering, software, remote work life, database]
#programming #softwar](https://image.pictame.com/img/637156693_883452011198882_6585965638722514695_n.jpg?hash=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)
5.2M
SODeactivated one user. Promoted everyone to guest. 🚀
[programming, software engineering, software, remote work life, database]
#programming #softwareengineer #software #remoteworklife
@soul_in_code
High Volume
#Database
世界中の人々によるDatabaseに関する8.6M件のリール動画を視聴。
ログインせずに匿名で視聴。
8.6M posts
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関連検索
30hazbin hotel personality databaserds database management toolswhat is database management softwarecinahl database accessmemento database updaterelational vs nosql database diagramerika jordan edgar database accessthe joi databasenull data in databasesrag pipeline vector database embedding retrieval diagram
トレンドリール
(12)
225.0K
SAWhat is a vector database 🤔
A vector database stores data as numerical embeddings (vectors) that represent meaning rather than exact text or values.
It enables similarity search by finding items that are mathematically close to a query vector instead of using exact matches.
In short: vector databases power semantic search, recommendations, and AI retrieval by understanding context and meaning.🫡🤝
#softwareengineering #computerscience
@sayed.developer
599.8K
THSQL enforces structure upfront, while NoSQL lets your data evolve naturally.
#engineering #programming #coding #computerscience #database
@this.girl.tech
4.3M
B_Don’t skip your database class #database #sql #softwareengineer #computerscience #softwaredeveloper #developers #coding #code #sqlserver #computing #students
@b_in_nzzz
577.3K
DUJava dev view: SQL queries = 2 types. Select (DQL). Non-select (DML). Remember this division for the next level! #JavaDeveloper #SQLQueries #DQL #DML #Database #ProgrammingTips #CodingLife
@durgajobsinfo
6.0M
AL😁 Interesting fact:
Many modern databases never actually "overwrite" your data when you perform an update. Instead, they use a technique called Multi-Version Concurrency Control (MVCC), where the system keeps the old version of your information and simply writes a brand-new one next to it with a timestamp. This allows multiple people to read and write simultaneously without crashing into each other. However, this creates "ghost data" over time, requiring the database to periodically run a background process called "Vacuuming" to sweep away the obsolete versions and reclaim storage space.
#database #programming
@algobrief
224.8K
LEthis is the curse database iceberg going from the least cursed all the way to the most cursed. what do you think?
#technology #software #code #programming
@lewismenelaws
88.2K
SOSmall query mistake → big performance cost.
Backend rule: fetch less, scale better.
“Why SELECT * is bad in production 👇
When you use SELECT *, the database returns every column, even the ones your app doesn’t use.
That means:
• More data sent over the network
• Higher memory usage
• Slower queries
• Extra CPU work
On large tables, this small habit can slow your system significantly.
Always fetch only the columns you need.
Less data = faster app.” 🚀
#programming #softwareengineer #software #remoteworklife
@soul_in_code
270.5K
VOComment DATABASE and I’ll send you the full list.
If databases and APIs feel confusing, it’s usually because people try to learn everything at once instead of understanding how the pieces connect.
The way I’d relearn it is simple:
start with how databases actually store data, practice writing real SQL queries, then build a backend API so it all makes sense in a real project.
In this video I share the exact resources I’d use to learn SQL, databases, HTTP requests, and API development from scratch in about a week.
Whether you’re learning backend development, preparing for software engineering interviews, or just trying to understand how apps talk to databases, these resources are a great place to start.
@volkan.js
183.4K
RESahi toh bola😵💫
sql, mysql, engineer, data science, sciencetist, database, interview, office, corporate, corporate reels, viral reels, humor, comedy
#interview #corporate #humor #engineer #officejokes
@relatable.tanya
4.2M
WIThis viral tweet from John Vincent Doran (@JahDuran) captures the pure, wheezing joy of discovering one of the internet’s favorite examples of unintentional comedy. The image features a roster of "American" names created by a Japanese game designer for a 90s baseball video game. Lacking a localized database, the designer clearly had to wing it, resulting in phonetic masterpieces that sound almost right, yet are completely absurd.
The humor lies in the uncanny valley of names like Sleve McDichael, Bobson Dugnutt, and Todd Bonzalez. Doran’s reaction—having an asthma attack from laughing so hard—is a sentiment shared by thousands of users who find these linguistic near-misses endlessly entertaining. It is a masterclass in how a simple technical limitation from the past can transform into a timeless piece of digital folklore, celebrating the bizarre and wonderful ways different cultures interpret one another.
#SleveMcDichael
#RetroGaming
#VideoGameHistory
#FunnyNames
#BobsonDugnutt
@wisterialinnaea
275.7K
COMost engineers hear about rate limiting only when they see this error:
429 – Too Many Requests
But behind that small error lies an important concept in system design.
Imagine your API suddenly gets 100k requests in a minute.
Without any control, your servers, database, and downstream services could easily crash.
That’s where rate limiting helps.
It simply means controlling how many requests a user or client can send within a certain time.
Some common ways systems implement it:
• Fixed Window – e.g., 100 requests per minute
• Sliding Window – smoother control over request bursts
• Token Bucket – requests consume tokens that refill over time
• Leaky Bucket – keeps traffic flowing at a steady rate
Companies like Stripe, GitHub, and many cloud providers rely heavily on these techniques to keep their systems stable.
Because good systems are not just built for normal traffic.
They are built for unexpected spikes, bots, and abuse.
And understanding concepts like this is what separates someone who just writes code from someone who designs scalable systems.
If you want to actually learn how real large-scale systems work, DM us to join the CodeKerdos System Design Program.
We break down real architectures used by companies like Netflix, Uber, and Amazon, in a way that actually makes sense.
Because system design shouldn’t feel complicated. It should feel clear.
#SystemDesign #devOps #onlinetraining
@codekerdos
✨ #Database発見ガイド
Instagramには#Databaseの下に8.6 million件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
Instagramの膨大な#Databaseコレクションには、今日最も魅力的な動画が掲載されています。@algobrief, @soul_in_code and @b_in_nzzzや他のクリエイティブなプロデューサーからのコンテンツは、世界中で8.6 million件の投稿に達しました。
#Databaseで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @algobrief, @soul_in_code, @b_in_nzzzなどがコミュニティをリード
#Databaseについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Databaseのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均4.9M回の再生（平均の2.7倍）
ピーク時間（11-13時、19-21時）とトレンド形式に注目
コンテンツ作成のヒントと戦略
🔥 #Databaseは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✨ 多くの認証済みクリエイターが活動中（58%） - コンテンツスタイルを研究
📹 #Databaseには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長479文字
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Databaseを探索#hazbin hotel personality database#rds database management tools#what is database management software#cinahl database access#memento database update#relational vs nosql database diagram#erika jordan edgar database access#the joi database