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@nooctera
#Multiple Not Like Sql
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NEBackend Development requires knowledge of multiple aspects. Here’s a mind map of what all things a developer should learn:
𝑭𝒖𝒏𝒅𝒂𝒎𝒆𝒏𝒕𝒂𝒍𝒔
This includes topics like backend vs frontend, client-server, DNS, etc.
𝑩𝒂𝒄𝒌𝒆𝒏𝒅 𝑷𝒓𝒐𝒈𝒓𝒂𝒎𝒎𝒊𝒏𝒈 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆𝒔
Choose between one or more programming languages like Java, Python, JS, Go, Rust, and C#.
𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆𝒔
This includes topics like types of databases such as SQL (Postgres, MySQL, SQLite), NoSQL (MongoDB, Firebase, DynamoDB), NewSQL (CockroachDB, Spanner). Other topics include working with ORMs and Database Caching.
𝑨𝑷𝑰𝒔 𝒂𝒏𝒅 𝑾𝒆𝒃 𝑺𝒆𝒓𝒗𝒊𝒄𝒆𝒔
Learn about API types (REST, GraphQL, gRPC, SOAP) and authentication techniques (like JWT, OAuth 2, API keys).
𝑺𝒆𝒓𝒗𝒆𝒓 𝒂𝒏𝒅 𝑯𝒐𝒔𝒕𝒊𝒏𝒈
This involves topics like backend hosting services (AWS, Azure, GCP), Containerization using Docker & Kubernetes, and Server Setup for Nginx, Apache, etc.
𝑫𝒆𝒗𝑶𝒑𝒔
Learn about CI/CD Pipelines using GitHub Actions and Jenkins, IaC (Terraform, Ansible) and Monitoring with tools like Prometheus, Grafana, ELK.
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#ASPNetCore #BackendDevelopment #CQRS #CSharp #CleanCode #EF #ErrorHandling #Polly #SQL #backenddevelopment #coding #codingtips #cSharp #designpatterns #developerResources #developers #dotnet #interviewtips #programming #software #SoftwareEngineering #systemdesign
@nextashinc
901
MA🔍 SQL vs. PL/SQL – What’s the Difference?
Many people confuse SQL and PL/SQL, but they serve very different roles in database management. Let’s break it down! 🚀
🔹 SQL (Structured Query Language)
• A declarative language used to interact with databases.
• Performs operations like SELECT, INSERT, UPDATE, and DELETE.
• Focuses on retrieving and manipulating data.
• Executes a single query at a time.
🔹 PL/SQL (Procedural Language/SQL)
• An extension of SQL that adds procedural programming features.
• Allows writing loops, conditions, and error handling within the database.
• Used for creating stored procedures, triggers, and functions.
• Executes multiple SQL statements as a block.
💡 SQL is about querying and modifying data, while PL/SQL is about programming inside the database! Mastering both gives you full control over database operations.
#SQL #PLSQL #DatabaseManagement #DataEngineering #Oracle #SQLvsPLSQL #SoftwareDevelopment #Programming #BackendDevelopment #LearnSQL
@mazej.codes
86.3K
I_SQL లో conditions combine చేయాలంటే AND, OR, NOT operators ఎలా వాడాలో తెలుసుకోండి! 💻📊
Topic Notes:
Logical operators help combine multiple conditions in SQL queries.
AND: రెండు conditions true అవ్వాలి.
OR: ఒకటి true ఐనా సరిపోతుంది.
NOT: condition ని reverse చేస్తుంది.
Example: SELECT * FROM Students WHERE grade = 'A' AND attendance > 75;
Hashtags:
#SQLLearning #LogicalOperators #ChimtuBro #LearnSQL
Keywords:
SQL, logical operators, AND OR NOT, SQL example
@i__simplify
467
AZPART 1/2
The Ultimate SQL Commands Cheatsheet! 💡 SQL is the foundation of database management, and knowing the right commands can make you a pro at handling data efficiently! Here’s a quick reference guide to essential SQL commands:
🔹 𝐃𝐚𝐭𝐚 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐃𝐐𝐋) – Retrieving Data ✅ SELECT – Extract data from tables ✅ WHERE – Apply conditions to filter data ✅ ORDER BY – Sort query results ✅ LIMIT – Restrict the number of rows returned
🔹 𝐃𝐚𝐭𝐚 𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐃𝐃𝐋) – Managing Table Structure ✅ CREATE TABLE – Define a new table ✅ ALTER TABLE – Modify an existing table ✅ DROP TABLE – Remove a table completely ✅ TRUNCATE TABLE – Delete all records but keep the structure
🔹 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐃𝐌𝐋) – Modifying Data ✅ INSERT INTO – Add new records ✅ UPDATE – Modify existing records ✅ DELETE – Remove specific records
🔹 𝐃𝐚𝐭𝐚 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐃𝐂𝐋) – Managing User Access ✅ GRANT – Provide specific permissions ✅ REVOKE – Remove granted permissions
🔹 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 (𝐓𝐂𝐋) – Handling Transactions ✅ COMMIT – Save all changes made during the session ✅ ROLLBACK – Undo changes if needed ✅ SAVEPOINT – Set checkpoints within a transaction
🔹 𝐒𝐐𝐋 𝐉𝐨𝐢𝐧𝐬 – Combining Data from Multiple Tables ✅ INNER JOIN – Fetch only matching records ✅ LEFT JOIN – Get all records from the left table and matching ones from the right ✅ RIGHT JOIN – Get all records from the right table and matching ones from the left ✅ FULL JOIN – Get all records from both tables #databricks #pyspark #python #premium #datafactory
@azure_data_engineer
26.1K
D3This is why I throw multiple tools at a target. In NahamSec’s SQLi lab, both Ghauri and SQLmap found the vuln—but only SQLmap dumped the DB entry containing the flag.
Maybe I fumbled Ghauri, maybe not. Point is: never hurts to double check 👓
@d3ndr1t30x
25.0K
GR😎 Comment SHIVA to get the Link ❣️
Guys itha prepare pannalae pothum you will get the multiple job offers like
🎉 Business Analyst
🎉 Financial analyst
🎉 Data Analyst
Follow pannida maranthathinga makkalae😂
Edanathu doubts na DM pannunga guys 🥳
#careergrowth #DataAnalytics #Python #SQL
Dm da Bois
@grow_with_shiva__
103.2K
EN📊 Mastering SQL ORDER BY in 120 seconds! 🚀
Ever wondered how to slice and dice your data like a pro? 🤔 Swipe through to learn everything from basic sorting to advanced ORDER BY tricks that'll level up your SQL game! 💪
Key highlights:
Basic to pro-level sorting techniques
Handling multiple columns like a boss
Custom sorting magic ✨
NULL value solutions
Performance tips that actually work
Save this for your next database project! 🎯
#SQLTutorial #CodingTips #DataScience #Programming #LearnToCode #TechEducation #DatabaseDesign #CodingCommunity #LearnSQL #TechTutorial #ProgrammingTips #CodeNewbie #SQL #SoftwareEngineering #DataAnalytics
@engineeringdigest.in
17.6K
COSQL Daily Series - 1
1) What is SQL?
Answer:- SQL stands for Structured Query Language
• SQL is used to perform operations on Relational DBMS.
• SQL is declarative. Hence, easy to learn.
SQL provides multiple clauses (commands) to perform various operations like create, retrieve, update and delete the data.
2) What is Data?
Answer:- Any sort of information that is stored is called data.
Examples:
• Messages & multimedia on WhatsApp
• Products and orders on Amazon
• Contact details in telephone directory, etc.
3) What is Database?
Answer :- An organised collection of data is called a database.
#codingwithmani #sql #sqlite #data #developer #mysql #database #programmer #programmer #programmers #coding #code #pythontricks #pythonclasses #pythonclasses #pythonpuzzle #programming #pythonpuzzle #PythonTricks #trendingreels #trending #viral #instagood #trend #instagram #international #india
@coding_with_mani
592.4K
AAComment "Link" to get this video in your DM.
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#aakashamodrajput #computerscience #reelsinstagram #webdevelopment #fullstack #javascripts #techcareers #reelsinstagram
@aakash.a.dev
73.6K
FU💾 SQL vs NoSQL: Why devs still pick relational databases in 2025 🧠
In a world where everyone’s chasing scale, speed, and "move fast" energy 🚀—SQL remains the quiet powerhouse of backend development. While NoSQL databases like MongoDB offer flexibility and quick iteration, they come with real tradeoffs: weaker data integrity, messy queries, and pain when things grow complex 😬.
🧩 SQL databases like Postgres bring structure, transactions, real joins, indexing, and even support for JSON when needed. It’s not about being “old-school”—it’s about having a solid foundation. And if scale really becomes your problem, tools like CockroachDB or Google Spanner offer distributed SQL that scales and keeps your data consistent 📈
💡 Don’t ditch SQL for hype. Use NoSQL when the use case demands it, not because it sounds cool.
📌 Reliable structure > premature optimization.
#TechTalk #ProgrammingLife #DatabaseDesign #SQLvsNoSQL #Postgres #MongoDB #BackendDeveloper #FullStackDev #SoftwareEngineering #ScalableArchitecture #CleanCode #DevTalks #TechReels #StewieGriffin #BrianGriffin #PeterGriffin #AIReels #FunnyReels #ViralReels
@fullstackpeter
23.1K
DAComment “SQL” and I’ll send you all the links
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If I had to learn SQL from scratch in 2025, I wouldn’t start with 10 courses or complicated tutorials…
I’d just follow 4 steps that actually make you job-ready 👇
🔥 Step 1: Learn the Basics (Free!)
Start with YouTube crash courses.
Alex the Analyst + FreeCodeCamp explain SQL like you’re five — simple, visual, and hands-on.
🔥 Step 2: Practice on Kaggle
Search “SQL exercises” or “beginner datasets.”
Work with real tables — sales, customers, movies. That’s where the fun begins.
🔥 Step 3: Build Mini Projects
Use DB Fiddle or SQLite Online.
Create your own database and ask real questions:
“What’s my top-selling product?” “Who are repeat customers?”
This is the step that changes everything.
🔥 Step 4: Share Your Work
Post your queries, dashboards, and insights on GitHub or Notion.
Recruiters love people who show their thinking, not just certificates.
You don’t learn SQL by watching…
You learn it by breaking queries and fixing them.
Comment “SQL” and I’ll send you all the links
Follow us @datawithsai to kick start your Data Analytics and Science journey.
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@datawithsai
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