162.2K
COSQL, explained by cats. #cat #code #databases #sql #data
@coding.kitty
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303.3K
HUSql is a very important skill for Data roles. Learn it for any Data role.
Comment below for more resources.
Follow @hustleuphoney for more!
Upskill, Learning, job, switch, Databases, Data Management, Data Analysis, Query Language, Data Science,Programming, Coding, SQL Basics, Data Retrieval, Database Queries, Tech Skills, Datayears Storage, Backend Development, SQL Learning, Data Engineer, SQL Developer, Database.
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#Tags: #SQL #Databases #DataManagement
#DataAnalysis #querylanguage
#DataScience #Programming #Coding
#SQLBasics #DataRetrieval
#DatabaseQueries #TechSkills #datastorage
#BackendDevelopment #SQLLearningng the INSE
#DataEngineer #sqldeveloper Tech
#DatabaseAdministration
@hustleuphoney
579.1K
MISlow search isn’t a code problem — it’s an architecture problem.
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
1️⃣ Cache Popular Searches in Redis
👉 Most users search the same things — don’t hit the DB every time.
Example: “iPhone 14” cached → response in 5ms, not 500ms.
⸻
2️⃣ Move Search to Elasticsearch
👉 Databases are bad at text search; Elasticsearch is built for it.
Example: Searching “red shoes” in DB = 500ms → in ES = 30ms.
⸻
3️⃣ Precompute Heavy Results
👉 Build results ahead of time for expensive categories.
Example: “Top trending products” updated every 5 mins → served instantly.
⸻
4️⃣ Serve Autocomplete Instead of Full Search
👉 Users type “lap…” → you only fetch suggestions.
Example: Autocomplete query = <10ms, full search = 500ms.
⸻
5️⃣ Partition Search Data
👉 Split data by region/category so each search scans less.
Example: Search only “Electronics shard” instead of whole DB.
⸻
6️⃣ Denormalize for Faster Lookups
👉 Put search fields together to avoid joins.
Example: Product + rating + category in one doc → one quick read.
⸻
7️⃣ Sync DB → Search Engine Asynchronously
👉 Keep writes separate so reads stay fast.
Example: Product updated → ES updated in background → users get fast results.
⸻
8️⃣ Limit & Rank Early
👉 Don’t fetch 10,000 matches — get top 20 from the index itself.
Example: Sorting done inside ES → API only returns final list.
#SystemDesign #BackendEngineering #APIDesign #HighScalability #LowLatency #DatabasePerformance #CachingStrategies #Microservices #DistributedSystems #TechReels #DevCommunity #SoftwareArchitecture #ProgrammingTips #TechInterview #BackendDeveloper #LearnSystemDesign #ai #api #databases #interviews #learninganddevelopment #backenddevelopment
(system design, backend engineering, scalable architecture, high traffic systems, database optimization, caching strategies, API performance, low latency design, distributed systems, backend interview prep, software architecture tips, microservices design, tech interview questions, system design for interviews)
@mission_compile
965.1K
MIFree Resources to master SQL
Just add one more skill to your resume before 2024 ends !!
Comment below if you need resources on any other topic , I am there to help you.
SQL is the backbone of data management, empowering you to store, query, and analyze data efficiently—essential for anyone diving into databases or data science.
Follow @missgandhi.tech for more
SQL, Databases, Data Management, Data Analysis, Query Language, Data Science, Programming, Coding, SQL Basics, Data Retrieval, Database Queries, Tech Skills, Data Storage, Backend Development, SQL Learning, Data Engineer, SQL Developer, Database Administration
#Tags: #SQL #Databases #DataManagement #DataAnalysis #QueryLanguage #DataScience #Programming #Coding #SQLBasics #DataRetrieval #DatabaseQueries #TechSkills #DataStorage #BackendDevelopment #SQLLearning #DataEngineer #SQLDeveloper #DatabaseAdministration
@missgandhi.tech
72.3K
CODatabases are not just storage.
They decide how your system scales, performs, and survives.
MySQL handles transactions.
MongoDB handles flexibility.
Redis handles speed.
Cassandra & HBase handle massive data.
TiDB & CockroachDB handle distributed scale.
Elasticsearch handles search.
Neo4j handles relationships.
Different problems → different databases.
Knowing why matters more than knowing names.
Save this.
You’ll thank yourself during interviews 🚀
#databases #mysql #mongodb #redis #cassandra hbase tidb cockroachdb elasticsearch neo4j systemdesign backendengineering softwareengineering techcareers interviewprep banzara codewithupasana
@codewithupasana
1.3M
CH#sql #codingmemes #learntocode #databases
@chrisho.dev
24.7K
SALet's understand the difference between NoSQL and SQL databases 😄
#backenddevelopment #coding #databases #fullstack #programming
@saurabhnative
103.9K
CSWorth it 🤓 lots can happen in 2 years
#compsci #learntocode #coding #codinglife #coder #programming #databases #computerscience #girlswhocode #informatik #softwareengineer #fang #cybersecurity #cybersec #javascript #developer #algorithms #datastructures #interviewprep
@csjack9
371.8K
TEWorth it 🤓 lots can happen in 2 years
⠀⠀⠀⠀⠀
Credits: @csjack9
Follow 🤝 @techtalkhq 🚀
Follow 🤝 @techtalkhq 🚀
Follow 🤝 @techtalkhq 🚀
Follow 🤝 @techtalkhq 🚀
#compsci #learntocode #coding #codinglife #coder #programming #databases #computerscience #girlswhocode #informatik #softwareengineer #fang #cybersecurity #cybersec #javascript #developer #algorithms #datastructures #interviewprep
@techtalkhq
164.4K
TIHow I became a self taught programmer and tips on how you can make the jump too! Hope this is helpful to anyone looking to learn how to code 💡 or just break into the tech industry!
#computerscience #girlswhocode #softwareengineering #informatik #webdevelopment #algorithms #javascript #pythonprogramming #java #coder #developerdiaries #aws #learnprogramming #softwareengineer #databases #codinglife💻
@tiffintech
17.4K
CO🎥 SQL vs NoSQL Databases – Explained Simply
📊 Choosing the right database is crucial for building scalable and reliable applications.
This video breaks down the key differences between SQL and NoSQL databases to help you decide what fits your project best.
🔹 SQL (Relational Databases)
📁 Structured, table-based data
🔒 Strong ACID compliance
📐 Fixed schema
📈 Best for complex queries & transactions
⚙️ Ideal for financial systems, ERP, and enterprise apps
🔸 NoSQL (Non-Relational Databases)
📦 Flexible, schema-less data
⚡ High performance & horizontal scalability
🌐 Designed for big data & real-time applications
🧩 Supports document, key-value, graph models
🚀 Ideal for modern web apps, IoT, and analytics
💡 Key Takeaway:
Use SQL when consistency and structure matter.
Use NoSQL when scalability and flexibility are the priority.
🔑 Keywords
SQL databases, NoSQL databases, database comparison, relational database, non-relational database, MongoDB, MySQL, PostgreSQL, Cassandra, Redis, backend development, system design, data storage, scalability, ACID vs BASE
📌 Hashtags
#SQL #NoSQL #Databases #BackendDevelopment
#WebDevelopment
@codewithprashantt
2.0K
MLBUTTON ORANGE!
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#backend #developer #apis #auth #databases #scalability #clouddeployment #frontend #machinelearning1 #office #views #ml1ai
@ml1ai
✨ #Databases発見ガイド
Instagramには#Databasesの下に510K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。
#Databasesは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーには510K以上の投稿があり、@chrisho.dev, @missgandhi.tech and @mission_compileのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Databases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: @chrisho.dev, @missgandhi.tech, @mission_compileなどがコミュニティをリード
#Databases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#Databases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806.8K回の再生（平均の2.4倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
📹 #Databases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576文字
✨ 一部の認証済みクリエイターが活動中（17%） - コンテンツスタイルを研究
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