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#Database

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#Database Reel by @soul_in_code (verified account) - Deactivated one user. Promoted everyone to guest. πŸš€

[programming, software engineering, software, remote work life, database]

#programming #softwar
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@soul_in_code
Deactivated one user. Promoted everyone to guest. πŸš€ [programming, software engineering, software, remote work life, database] #programming #softwareengineer #software #remoteworklife
#Database Reel by @pirknn (verified account) - Comment "LINK" to get links!

πŸš€ 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 β€œLINK” to get links! πŸš€ 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. πŸŽ“ 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. πŸ“˜ 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. πŸ’» 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. πŸ’‘ 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. πŸ“Œ Save this post so you do not lose the roadmap. πŸ’¬ Comment β€œLINK” and I will send you all the links. πŸ‘‰ Follow for more content on databases, backend engineering and system design.
#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 @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 @sayed.developer (verified account) - What is a vector database πŸ€”
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 πŸ€” 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 @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 β€œblog” & 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 πŸ“© #dsa #systemdesign #tech #coding #codinglife #database [Dsa, system design, database, indexing, tech]
#Database Reel by @this.girl.tech - SQL enforces structure upfront, while NoSQL lets your data evolve naturally.

#engineering #programming #coding #computerscience #database
600.3K
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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 @techwithcp - πŸš€ 30 DATABASE QUESTIONS Every Interviewer Asks
(Real questions. Real interviews. No theory fluff.)

πŸ‘‡ SAVE this for interviews πŸ‘‡

πŸ”₯ Top 30 Databas
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@techwithcp
πŸš€ 30 DATABASE QUESTIONS Every Interviewer Asks (Real questions. Real interviews. No theory fluff.) πŸ‘‡ SAVE this for interviews πŸ‘‡ πŸ”₯ 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? πŸ”Ÿ 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? πŸ”– Save this β€” interview favorite πŸ” Share with your dev friend πŸ’¬ Comment β€˜DATABASE’ for more reels βž• Follow for real interview questions #techreels #softwaredevelopment #softwareengineer #systemdesign #backenddeveloper
#Database Reel by @thatcodergirlie (verified account) - Comment "blog" & I'll share the blog link with you in your DM 🀝🏻

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

Topic: Redis (database that answ
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@thatcodergirlie
Comment β€œblog” & I’ll share the blog link with you in your DM 🀝🏻 (Make sure to follow else automation won’t work) Topic: Redis (database that answers millions of request in microseconds that too with a single thread) Save for your future interviews πŸ“© #dsa #systemdesign #tech #coding #codinglife [dsa, system design, redis, tech]
#Database Reel by @soul_in_code (verified account) - The WHERE clause was there.
My cursor just didn't select it.

The WHERE clause was written, but I forgot to select it when running the query. The data
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@soul_in_code
The WHERE clause was there. My cursor just didn’t select it. The WHERE clause was written, but I forgot to select it when running the query. The database executed only the UPDATE statement… and deactivated everything. [programming, software engineering, software, remote work life, database] #programming #softwareengineer #software #remoteworklife
#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 @qubitship - Redis is a super-fast in-memory database that stores data in RAM instead of disk. In a client-server-database system, Redis is used to cache and quick
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@qubitship
Redis is a super-fast in-memory database that stores data in RAM instead of disk. In a client-server-database system, Redis is used to cache and quickly retrieve data, improving performance and reducing load on the main database. Perfect for real-time apps, caching, and session storage. #education #redis #coding #programming #computerscience

✨ #Database Discovery Guide

Instagram hosts 8.6 million posts under #Database, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

Discover the latest #Database content without logging in. The most impressive reels under this tag, especially from @algobrief, @soul_in_code and @b_in_nzzz, are gaining massive attention. View them in HD quality and download to your device.

What's trending in #Database? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.

Popular Categories

πŸ“Ή Video Trends: Discover the latest Reels and viral videos

πŸ“ˆ Hashtag Strategy: Explore trending hashtag options for your content

🌟 Featured Creators: @algobrief, @soul_in_code, @b_in_nzzz and others leading the community

FAQs About #Database

With Pictame, you can browse all #Database reels and videos without logging into Instagram. Your viewing activity remains completely private - no traces left, no account required. Simply search for the hashtag and start exploring trending content instantly.

Content Performance Insights

Analysis of 12 reels

πŸ”₯ Highly Competitive

πŸ’‘ Top performing posts average 4.3M views (2.5x above average). High competition - quality and timing are critical.

Focus on peak engagement hours (typically 11 AM-1 PM, 7-9 PM) and trending formats

Content Creation Tips & Strategy

πŸ’‘ Top performing content gets over 10K views - focus on engaging first 3 seconds

✨ Many verified creators are active (58%) - study their content style for inspiration

✍️ Detailed captions with story work well - average caption length is 556 characters

πŸ“Ή High-quality vertical videos (9:16) perform best for #Database - use good lighting and clear audio

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