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#๐ฆ๐ค๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ต๐ฒ๐ฎ๐๐๐ต๐ฒ๐ฒ๐ โ ๐๐ฟ๐ฎ๐ฐ๐ธ ๐๐ป๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ช๐ถ๐๐ต ๐ง๐ต๐ฒ๐๐ฒ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
โ ๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ถ๐ป๐ โ Combine data from multiple tables
๐ก INNER JOIN โ Returns matching records from both tables
๐ก LEFT JOIN โ Returns all records from the left table + matches from the right
๐ก RIGHT JOIN โ Returns all records from the right table + matches from the left
๐ก FULL JOIN โ Returns all records from both tables
โ ๐ฎ. ๐๐๐ง๐ ๐๐๐๐ง๐๐ฅ๐๐ก๐ โ Retrieve specific records efficiently
๐ก WHERE โ Filters rows before aggregation
๐ก HAVING โ Filters after aggregation
๐ก BETWEEN, IN, LIKE โ Advanced filtering
โ ๐ฏ. ๐๐๐๐ฅ๐๐๐๐ง๐๐ข๐ก & ๐๐ฅ๐ข๐จ๐ฃ๐๐ก๐ โ Summarize data
๐ก GROUP BY โ Groups data based on a column
๐ก COUNT, SUM, AVG, MIN, MAX โ Perform calculations
โ ๐ฐ. ๐ฆ๐จ๐๐ค๐จ๐๐ฅ๐๐๐ฆ & ๐๐ง๐๐ โ Break complex queries
๐ก Subquery โ Nested query inside another query
๐ก Common Table Expressions (CTE) โ Temporary named query
โ ๐ฑ. ๐๐ก๐๐๐ซ๐๐ก๐ & ๐ข๐ฃ๐ง๐๐ ๐๐ญ๐๐ง๐๐ข๐ก โ Speed up queries
๐ก Indexes โ Improve search speed
๐ก EXPLAIN PLAN โ Analyze query performance
โ ๐ฒ. ๐๐๐ฉ๐๐ก๐๐๐ ๐ฆ๐ค๐ ๐ง๐ข๐ฃ๐๐๐ฆ
๐ก Window Functions โ RANK, ROW_NUMBER, LEAD, LAG
๐ก Stored Procedures & Triggers โ Automate tasks
๐ก Normalization & Denormalization โ Optimize database design
โก๏ธ BEST DATA SCIENCE CHANNELS ON TELEGRAM ๐
โ ๐ญ. ๐ฆ๐ค๐ ๐๐ผ๐ถ๐ป๐ โ Combine data from multiple tables
๐ก INNER JOIN โ Returns matching records from both tables
๐ก LEFT JOIN โ Returns all records from the left table + matches from the right
๐ก RIGHT JOIN โ Returns all records from the right table + matches from the left
๐ก FULL JOIN โ Returns all records from both tables
โ ๐ฎ. ๐๐๐ง๐ ๐๐๐๐ง๐๐ฅ๐๐ก๐ โ Retrieve specific records efficiently
๐ก WHERE โ Filters rows before aggregation
๐ก HAVING โ Filters after aggregation
๐ก BETWEEN, IN, LIKE โ Advanced filtering
โ ๐ฏ. ๐๐๐๐ฅ๐๐๐๐ง๐๐ข๐ก & ๐๐ฅ๐ข๐จ๐ฃ๐๐ก๐ โ Summarize data
๐ก GROUP BY โ Groups data based on a column
๐ก COUNT, SUM, AVG, MIN, MAX โ Perform calculations
โ ๐ฐ. ๐ฆ๐จ๐๐ค๐จ๐๐ฅ๐๐๐ฆ & ๐๐ง๐๐ โ Break complex queries
๐ก Subquery โ Nested query inside another query
๐ก Common Table Expressions (CTE) โ Temporary named query
โ ๐ฑ. ๐๐ก๐๐๐ซ๐๐ก๐ & ๐ข๐ฃ๐ง๐๐ ๐๐ญ๐๐ง๐๐ข๐ก โ Speed up queries
๐ก Indexes โ Improve search speed
๐ก EXPLAIN PLAN โ Analyze query performance
โ ๐ฒ. ๐๐๐ฉ๐๐ก๐๐๐ ๐ฆ๐ค๐ ๐ง๐ข๐ฃ๐๐๐ฆ
๐ก Window Functions โ RANK, ROW_NUMBER, LEAD, LAG
๐ก Stored Procedures & Triggers โ Automate tasks
๐ก Normalization & Denormalization โ Optimize database design
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SQL Query Optimaztion.pdf
897.9 KB
Your SQL query is running.
And running.
And ruuunnniiiiiiiing....โฑ๏ธโฑ๏ธโฑ๏ธโฑ๏ธ
Not so great for a tool meant to enable us quicker access to data, right?
Swipe for a few tips on how to optimize your #SQL queries, and not let them become a bottleneck in your reporting process.
๐ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk
๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
And running.
And ruuunnniiiiiiiing....โฑ๏ธโฑ๏ธโฑ๏ธโฑ๏ธ
Not so great for a tool meant to enable us quicker access to data, right?
Swipe for a few tips on how to optimize your #SQL queries, and not let them become a bottleneck in your reporting process.
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โค5๐2
SQL cheatsheet for download.
#SQL #SQLCheatSheet #Database #DataAnalysis #LearnSQL #SQLQueries #DataScience #DatabaseManagement #FreeDownload #SQLForBeginners
โ๏ธ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk๐ฑ Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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โค5
SQL interview.pdf
3.9 MB
SQL Optimization Interview Questions
#SQL #SQLCheatSheet #Database #DataAnalysis #LearnSQL #SQLQueries #DataScience #DatabaseManagement #FreeDownload #SQLForBeginners
โ๏ธ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk
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โค4
๐ How to Design Structured Database Systems Using SQL [Full Book]
โ๏ธ Daniel Garcรญa Solla
๐ท๏ธ #SQL
โ๏ธ Daniel Garcรญa Solla
๐ท๏ธ #SQL
300 Real Time SQL Interview.pdf
4.5 MB
300 Real Time SQL Interview practical Questions Asked at multiple companies
โขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโข
Anyone who's preparing for an interview just reading theoretical concept will not help definitely you need to have practical hands on in #sql so create table with some data and try this queries running by your self so can help you to understand the logic of similar kind of queries
If you're preparing for an interview this doc will help a lot in the perpetration If you're experienced also freshers can also get hands on by practicing these queries and get confidence.
โขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโขโข
Anyone who's preparing for an interview just reading theoretical concept will not help definitely you need to have practical hands on in #sql so create table with some data and try this queries running by your self so can help you to understand the logic of similar kind of queries
If you're preparing for an interview this doc will help a lot in the perpetration If you're experienced also freshers can also get hands on by practicing these queries and get confidence.
โค3
Important SQL concepts to master.pdf
3 MB
Important #SQL concepts to master:
- Joins (inner, left, right, full)
- Group By vs Where vs Having
- Window functions (ROW_NUMBER, RANK, DENSE_RANK)
- CTEs (Common Table Expressions)
- Subqueries and nested queries
- Aggregations and filtering
- Indexing and performance basics
- NULL handling
Interview Tips:
- Focus on writing clean, readable queries
- Explain your logic clearly donโt just jump to #code
- Always test for edge cases (empty tables, duplicate rows)
- Practice optimization: how would you improve performance?
https://t.iss.one/DataAnalyticsXโญ
- Joins (inner, left, right, full)
- Group By vs Where vs Having
- Window functions (ROW_NUMBER, RANK, DENSE_RANK)
- CTEs (Common Table Expressions)
- Subqueries and nested queries
- Aggregations and filtering
- Indexing and performance basics
- NULL handling
Interview Tips:
- Focus on writing clean, readable queries
- Explain your logic clearly donโt just jump to #code
- Always test for edge cases (empty tables, duplicate rows)
- Practice optimization: how would you improve performance?
https://t.iss.one/DataAnalyticsX
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