#Day_10 of learning SQL in 60 days Topic I covered: ORDER BY Clause in SQL Today, I learned how to sort data using the ORDER BY clause in SQL. ORDER BY is used to arrange the result set in: ✔ Ascending order (ASC) – default ✔ Descending order (DESC) Syntax: SELECT COLUMN_NAME(S) FROM TABLE_NAME ORDER BY COLUMN_NAME; Example: SELECT NAME, SALARY FROM STAFF ORDER BY SALARY DESC; This query displays employees sorted by highest salary first. Key Takeaways: ✔ Helps in organizing data neatly ✔ Useful for reports and analysis ✔ Can sort by one or multiple columns Small progress every day towards becoming better in SQL #SQL #MySQL #LearningJourney #DataAnalytics #TechSkills #Database
Mastering SQL: ORDER BY Clause for Data Organization
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Day 25 of My SQL Study Today I learned about the SQL ANY operator, and it’s actually quite interesting. The ANY operator is used with a subquery and returns TRUE if any one of the values from the subquery meets the condition. In simple terms: If at least one value matches, the condition is TRUE. Basic Syntax SELECT column_name FROM table_name WHERE column_name operator ANY (subquery); Example: Imagine you have: A Products table An Orders table You want to find products that are priced higher than at least one ordered product. Query: SELECT product_name FROM Products WHERE price > ANY ( SELECT price FROM Orders ); This will return products whose price is greater than any one of the prices in the Orders table. A simple way to understand it ANY = at least one match is enough #SQL #SQLLearning #DataAnalytics #LearningInPublic #TechJourney #ContinuousLearning
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Day 13 of learning SQL 🚀 Today I learned how to use Temporary Tables in MySQL to store and reuse data during a session. This concept helped me understand how to break down complex queries and work with intermediate results more efficiently. Topics I covered: ✔ Creating temporary tables manually ✔ Inserting data into temp tables ✔ Creating temp tables directly from SELECT queries ✔ Using temp tables for filtering and analysis Example I practiced: CREATE TEMPORARY TABLE salary_over_50k AS SELECT * FROM employee_salary WHERE salary >= 50000; Key learning today 💡 Temporary tables exist only during the session They help simplify complex queries Useful when the same filtered data is needed multiple times Make SQL workflows more structured and efficient Step by step, moving towards writing cleaner and more practical SQL queries. Goal: Become job-ready in SQL & Data Analysis 💪 #SQL #DataAnalytics #LearningInPublic #100DaysOfCode #Consistency
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🚀 Day 1 of My SQL Learning Journey Today I learned the basics of the SELECT statement in SQL. 👉 SELECT is used to retrieve data from a database. Basic syntax: SELECT column_name FROM table_name; ✔ SELECT * → used to get all columns ✔ SELECT column_name → used to get specific data 💡 This is the first step to working with data and understanding databases. Excited to learn more! 🔥 Next: WHERE clause 👀 #SQL #LearningJourney #Beginner #DataAnalytics #Day1 #LearnInPublic
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have you experience same while working in sql? Created database called revisesql I was running my query multiple times and didn’t realize the data was getting duplicated. Later I understood that I should clear the table or avoid running the same query again. Simple mistake, but a very useful learning. #LearningSQLthroughrealmistakesandfixes. #codebasicsbestteaching #codebasics #SQL #DataAnalytics #LearningJourney #Beginners #KaliyonaSQL #KaliyonaDataAnalytics ##KaliyonaWithGayathriBhat
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🚨 SQL Challenge for Beginners! Many students learn SQL… but struggle when applying it in real scenarios. Let’s test your skills 👇 👉 Find employees in the IT department with salary > 30000 Can you write the correct SQL query? 💬 Drop your answer in the comments! ⚠️ Most people make a mistake here (AND vs OR 👀) 🎥 I’ve explained the full solution step by step in this video: https://lnkd.in/gdwFfkce Watch it and check if your answer is correct 👆 #SQL #DataAnalytics #LearningSQL #SQLChallenge #SQLForBeginners #Antonyshibu
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#Day_32 of My SQL Learning Journey! Today I explored powerful SQL queries using conditions & sorting 💻 ✔ SELECT with WHERE conditions ✔ Filtering data using >, <, = ✔ Using AND, OR, NOT operators ✔ Sorting data with ORDER BY (ASC & DESC) Now I can control and filter data like a pro! Step by step getting closer to real-world data handling #SQL #MySQL #Database #LearningJourney #100DaysOfCode #DataAnalytics
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Day 56 🗄️ | Exploring SQL Commands & Constraints Today I learned some fundamental SQL commands used to create, modify, and manage database structures and data. 🔹 SQL Commands I Learned 📌 CREATE Used to create databases, tables, and schemas 📌 ALTER Modify existing table structure (add/remove columns) 📌 DROP Deletes entire table or database permanently 📌 DELETE Removes specific rows from a table 📌 TRUNCATE Removes all rows from a table quickly (without deleting structure) 🔹 Constraints in SQL Constraints are rules applied to ensure data accuracy and integrity: PRIMARY KEY → Unique identifier for each row FOREIGN KEY → Links tables together NOT NULL → Prevents empty values UNIQUE → Ensures no duplicate values DEFAULT → Sets default value 💡 Key Takeaway Understanding SQL commands and constraints is essential to build structured, reliable, and clean databases. Step by step moving from basic concepts → practical SQL skills. Krishna Mantravadi Rakesh Viswanath Frontlines EduTech (FLM) #Day56 #SQL #Database #DataAnalytics #LearningJourney #DataAnalyst
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Writing SQL queries is easy. Writing optimized SQL queries is what sets you apart. Join our Live Case Study Series and learn how to improve query performance with real-world scenarios. Every Sunday | 10:00 AM This Sunday’s Topic: How to optimise your SQL query Register here → https://lnkd.in/gmJF99-j #SQL #SQLQueries #LearnSQL #SQLOptimization #Database
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Valuable perspective on SQL... It's not just about writing queries - it's about how efficiently you structure them, optimize performance and uncover insights hidden within complex datasets. Strong SQL skills truly define the quality of any data-driven decision.
One diagram. Every SQL concept you'll ever need. Most people learn SQL backwards. Random queries. Stack Overflow fixes. One command at a time. No wonder it never fully clicks. Here’s the system behind it all: DDL - Design the structure. Tables, views, constraints, keys. DML - Work the data. Select, insert, update, delete. DCL - Control access. Grant or revoke permissions. TCL - Protect transactions. Commit, rollback, savepoint. Joins - Connect tables. Inner, left, right, full outer. Where - Filter precisely. Operators, LIKE, BETWEEN, EXISTS. Aggregations - Summarize. AVG, SUM, COUNT, MIN, MAX. Group By organizes. Having filters after. Window Functions - The advanced layer. RANK, LAG, LEAD, ROW_NUMBER. Power without losing row detail. Ten components. One connected system. Once you see the full picture - SQL stops feeling like memorization. It starts feeling like logic. Bookmark this for your team. 📌 Learn & Build AI in 4 weeks: https://myrealproduct.com/ Which layer do most beginners skip? 👇 Follow Hari Prasad for more such insights!! 🔁 Repost to help your community to learn SQL
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10 days in and already working with ORDER BY and BETWEEN — solid pacing. One thing that helps at this stage is running the same query with and without ORDER BY to see the difference in execution plans using EXPLAIN. It builds the habit of thinking about performance early, even on small datasets. Keep the momentum going! Disclosure: I'm working on ai2sql.io — a natural language to SQL converter. The 60-day challenge format is great because it mirrors how people naturally describe queries before learning formal syntax.