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#Database

Смотрите 8.6M Reels видео о Database от людей со всего мира.

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Трендовые Reels

(12)
#Database Reel by @pirknn (verified account) - Comment "LINK" to get links!

🚀 Want to learn database design in a way that actually sticks? This mini roadmap takes you from beginner fundamentals t
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@pirknn
Comment “LINK” to get links! 🚀 Want to learn database design in a way that actually sticks? This mini roadmap takes you from beginner fundamentals to designing production ready schemas you can confidently use in real apps. 🎓 Idea to Prod DB Perfect starting point if you are new to database design. You will understand how to go from a product idea to a clean data model, how to identify entities and relationships, and how to avoid common beginner mistakes. Great for learning the basics of schema thinking, constraints and tradeoffs. 📘 DBs in Depth Now deepen your understanding. This resource helps you build a strong mental model for how databases actually work under the hood. You will learn core concepts like indexing, query planning, transactions, isolation levels and normalization vs denormalization so you stop guessing and start designing with confidence. 💻 DB Design Course Time to go end to end. You will apply what you learned by designing schemas for real world features like users, payments, orders and analytics. You will learn how to model one to many and many to many relationships, choose data types, set keys and constraints, and prepare your database for real production workflows. 💡 With these database resources you will: Design clean schemas that scale with your product Understand normalization, indexes and transaction safety Build portfolio ready backend projects with production style database design If you are serious about backend engineering, system design interviews or building real products, database design is a must have skill. 📌 Save this post so you do not lose the roadmap. 💬 Comment “LINK” and I will send you all the links. 👉 Follow for more content on databases, backend engineering and system design.
#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
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@soul_in_code
Deactivated one user. Promoted everyone to guest. 🚀 [programming, software engineering, software, remote work life, database] #programming #softwareengineer #software #remoteworklife
#Database Reel by @durgajobsinfo - Java dev view: SQL queries = 2 types. Select (DQL). Non-select (DML). Remember this division for the next level! #JavaDeveloper #SQLQueries #DQL #DML
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@durgajobsinfo
Java 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
#Database Reel by @techwithcp - 🚀 30 DATABASE QUESTIONS Every Interviewer Asks
(Real questions. Real interviews. No theory fluff.)

👇 SAVE this for interviews 👇

🔥 Top 30 Databas
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@techwithcp
🚀 30 DATABASE QUESTIONS Every Interviewer Asks (Real questions. Real interviews. No theory fluff.) 👇 SAVE this for interviews 👇 🔥 Top 30 Database Interview Questions 1️⃣ What is the difference between SQL and NoSQL databases? 2️⃣ When should you choose SQL over NoSQL? 3️⃣ What is normalization and why is it important? 4️⃣ What is denormalization and when should we use it? 5️⃣ What is a primary key vs unique key? 6️⃣ What is a foreign key and how does it maintain integrity? 7️⃣ What is an index and how does it improve performance? 8️⃣ What are the types of indexes (B-Tree, Hash, GIN, GiST)? 9️⃣ When NOT to use indexes? 🔟 What is a composite index? 1️⃣1️⃣ Difference between DELETE, TRUNCATE, and DROP 1️⃣2️⃣ What is ACID property in databases? 1️⃣3️⃣ What are transactions and why are they important? 1️⃣4️⃣ What is isolation level? Explain all levels 1️⃣5️⃣ What is deadlock? How do you prevent it? 1️⃣6️⃣ What is sharding vs partitioning? 1️⃣7️⃣ What is replication and its types? 1️⃣8️⃣ Difference between clustered and non-clustered index 1️⃣9️⃣ What is query execution plan? 2️⃣0️⃣ How do you optimize a slow SQL query? 2️⃣1️⃣ What is JOIN? Explain different types of joins 2️⃣2️⃣ Difference between INNER JOIN and LEFT JOIN 2️⃣3️⃣ What is N+1 query problem? 2️⃣4️⃣ What is database locking? 2️⃣5️⃣ What is optimistic vs pessimistic locking? 2️⃣6️⃣ What is CAP theorem? 2️⃣7️⃣ What is eventual consistency? 2️⃣8️⃣ Difference between OLTP and OLAP 2️⃣9️⃣ What is stored procedure vs function? 3️⃣0️⃣ How do you handle database migrations in production? 🔖 Save this — interview favorite 🔁 Share with your dev friend 💬 Comment ‘DATABASE’ for more reels ➕ Follow for real interview questions #techreels #softwaredevelopment #softwareengineer #systemdesign #backenddeveloper
#Database Reel by @this.girl.tech - SQL enforces structure upfront, while NoSQL lets your data evolve naturally.

#engineering #programming #coding #computerscience #database
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@this.girl.tech
SQL enforces structure upfront, while NoSQL lets your data evolve naturally. #engineering #programming #coding #computerscience #database
#Database Reel by @thatcodergirlie (verified account) - Comment "blog" & I'll share the blog link & my notes with you in your DM 🤝🏻

(Make sure to follow else automation won't work)

Topic: Database Index
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@thatcodergirlie
Comment “blog” & I’ll share the blog link & my notes with you in your DM 🤝🏻 (Make sure to follow else automation won’t work) Topic: Database Indexing (Indexes help reads, but they can choke your database) Save for your future interviews 📩 #dsa #systemdesign #tech #coding #codinglife #database [Dsa, system design, database, indexing, tech]
#Database Reel by @sayed.developer (verified account) - What is a vector database 🤔
A vector database stores data as numerical embeddings (vectors) that represent meaning rather than exact text or values.
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@sayed.developer
What 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
#Database Reel by @lewismenelaws (verified account) - this is the curse database iceberg going from the least cursed all the way to the most cursed. what do you think?

#technology #software #code #progra
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@lewismenelaws
this 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
#Database Reel by @b_in_nzzz - Don't skip your database class #database #sql #softwareengineer #computerscience #softwaredeveloper #developers #coding #code #sqlserver #computing #s
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@b_in_nzzz
Don’t skip your database class #database #sql #softwareengineer #computerscience #softwaredeveloper #developers #coding #code #sqlserver #computing #students
#Database Reel by @algobrief (verified account) - 😁 Interesting fact:

Many modern databases never actually "overwrite" your data when you perform an update. Instead, they use a technique called Mult
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@algobrief
😁 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
#Database Reel by @soul_in_code (verified account) - More indexes ≠ more speed.
Bad indexing slows growing apps.

Indexes make reading data faster, like a book's index helps you find a page quickly. 📖
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@soul_in_code
More indexes ≠ more speed. Bad indexing slows growing apps. Indexes make reading data faster, like a book’s index helps you find a page quickly. 📖 But here’s what many developers don’t realize… Every time you INSERT, UPDATE, or DELETE, the database must also update every index on that table. So if a table has 8 indexes, one write operation becomes 8 extra operations. That means: • Slower writes • More disk usage • More maintenance work Indexes are powerful, but only create them for: ✔ Columns used in WHERE ✔ JOIN columns ✔ ORDER BY columns More indexes doesn’t mean more speed. It means more responsibility. #programming #softwareengineer #software #remoteworklife

✨ Руководство по #Database

Instagram содержит 8.6 million публикаций под #Database, создавая одну из самых ярких визуальных экосистем платформы.

#Database — один из самых популярных трендов в Instagram прямо сейчас. С более чем 8.6 million публикаций в этой категории, создатели вроде @algobrief, @soul_in_code and @b_in_nzzz лидируют со своим вирусным контентом. Просматривайте эти популярные видео анонимно на Pictame.

Что в тренде в #Database? Самые просматриваемые видео Reels и вирусный контент представлены выше.

Популярные Категории

📹 Видео-тренды: Откройте для себя последние Reels и вирусные видео

📈 Стратегия хэштегов: Изучите трендовые варианты хэштегов для вашего контента

🌟 Избранные Создатели: @algobrief, @soul_in_code, @b_in_nzzz и другие ведут сообщество

Часто задаваемые вопросы о #Database

С помощью Pictame вы можете просматривать все видео и реелы #Database без входа в Instagram. Ваша деятельность остается полностью приватной - без следов, без учетной записи. Просто найдите хэштег и начните исследовать трендовый контент мгновенно.

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💡 Лучшие посты получают в среднем 4.0M просмотров (в 2.7x раз выше среднего)

Фокус на пиковые часы (11-13, 19-21) и трендовые форматы

Советы по Созданию Контента и Стратегия

💡 Лучший контент получает более 10K просмотров - сосредоточьтесь на первых 3 секундах

✨ Многие верифицированные создатели активны (58%) - изучайте их стиль контента

📹 Вертикальные видео высокого качества (9:16) лучше всего работают для #Database - используйте хорошее освещение и четкий звук

✍️ Подробные подписи с историей работают хорошо - средняя длина 541 символов

Популярные поиски по #Database

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