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Must know SQL basics !! ➡ Explain the order of execution of a SQL query. ➡ Provide a use case for RANK, DENSE_RANK, and ROW_NUMBER and explain when to use each. ➡ Write a query to find the cumulative sum (running total) of sales in a table. ➡ How would you write a query to find the most selling product by sales or the highest salary of employees? ➡ Write a SQL query to find the 2nd or Nth highest salary of employees. ➡ What is the difference between UNION and UNION ALL? Provide a use case for both. ➡ How do you write a query to identify duplicates in a table? ➡ Explain INNER, LEFT, and OUTER joins using a scenario and write a query for each. ➡ Write a query using LAG to find records where the transaction value is greater than the previous transaction value. ➡ What is the difference between RANK and DENSE_RANK, and how would you write a query to find the 2nd highest salary while handling ties? Here you can find essential SQL Interview Resources👇 https://topmate.io/analyst/864764 Like this post if you need more 👍❤️ Hope it helps :)

Complete 14-day roadmap to learn SQL learning: Day 1: Introduction to Databases - Understand the concept of databases and their importance. - Learn about relational databases and SQL. - Explore the basic structure of SQL queries. Day 2: Basic SQL Syntax - Learn SQL syntax: statements, clauses, and keywords. - Understand the SELECT statement for retrieving data. - Practice writing basic SELECT queries with conditions and filters. Day 3: Retrieving Data from Multiple Tables - Learn about joins: INNER JOIN, LEFT JOIN, RIGHT JOIN. - Understand how to retrieve data from multiple tables using joins. - Practice writing queries involving multiple tables. Day 4: Aggregate Functions - Learn about aggregate functions: COUNT, SUM, AVG, MIN, MAX. - Understand how to use aggregate functions to perform calculations on data. - Practice writing queries with aggregate functions. Day 5: Subqueries - Learn about subqueries and their role in SQL. - Understand how to use subqueries in SELECT, WHERE, and FROM clauses. - Practice writing queries with subqueries. Day 6: Data Manipulation Language (DML) - Learn about DML commands: INSERT, UPDATE, DELETE. - Understand how to add, modify, and delete data in a database. - Practice writing DML statements. Day 7: Data Definition Language (DDL) - Learn about DDL commands: CREATE TABLE, ALTER TABLE, DROP TABLE. - Understand constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL. - Practice designing database schemas and creating tables. Day 8: Data Control Language (DCL) - Learn about DCL commands: GRANT, REVOKE for managing user permissions. - Understand how to control access to database objects. - Practice granting and revoking permissions. Day 9: Transactions - Understand the concept of transactions in SQL. - Learn about transaction control commands: COMMIT, ROLLBACK. - Practice managing transactions. Day 10: Views - Learn about views and their benefits. - Understand how to create, modify, and drop views. - Practice creating views. Day 11: Indexes - Learn about indexes and their role in database optimization. - Understand different types of indexes (e.g., B-tree, hash). - Practice creating and managing indexes. Day 12: Optimization Techniques - Explore optimization techniques such as query tuning and normalization. - Understand the importance of database design for optimization. - Practice optimizing SQL queries. Day 13: Review and Practice - Review all concepts covered in the previous days. - Work on sample projects or exercises to reinforce learning. - Take practice quizzes or tests. Day 14: Final Review and Projects - Review all concepts learned throughout the 14 days. - Work on a final project to apply SQL knowledge. - Seek out additional resources or tutorials if needed. Here are some practical SQL syntax examples for each day of your learning journey: Day 1: Introduction to Databases - Syntax to select all columns from a table:

   SELECT * FROM table_name;
  

Day 2: Basic SQL Syntax - Syntax to select specific columns from a table:

   SELECT column1, column2 FROM table_name;
  

Day 3: Retrieving Data from Multiple Tables - Syntax for INNER JOIN to retrieve data from two tables:

   SELECT orders.order_id, customers.customer_name
  FROM orders
  INNER JOIN customers ON orders.customer_id = customers.customer_id;
  

Day 4: Aggregate Functions - Syntax for COUNT to count the number of rows in a table:

   SELECT COUNT(*) FROM table_name;
  

Day 5: Subqueries - Syntax for using a subquery in the WHERE clause:

   SELECT column1, column2 
  FROM table_name 
  WHERE column1 IN (SELECT column1 FROM another_table WHERE condition);
  

Day 6: Data Manipulation Language (DML) - Syntax for INSERT to add data into a table:

   INSERT INTO table_name (column1, column2) VALUES (value1, value2);
  

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SQL Execution Order Breakdown: 1️⃣ FROM Clause: The first step is to identify the tables involved in the query and establish the necessary joins. 2️⃣ WHERE Clause: Filters are applied to the rows retrieved from the tables based on the specified conditions. 3️⃣ GROUP BY Clause: If included, rows are grouped based on the specified columns. 4️⃣ HAVING Clause: Similar to the WHERE clause, but it filters groups instead of individual rows. 5️⃣ SELECT Clause: Columns to be retrieved are specified. 6️⃣ DISTINCT Clause: Removes duplicate rows from the result set if specified. 7️⃣ ORDER BY Clause: Sorts the result set based on the specified columns. 8️⃣ LIMIT/OFFSET Clause: Limits the number of rows returned, with optional offset for pagination. Understanding this order helps in writing efficient queries and debugging issues effectively. Here you can find essential SQL Interview Resources👇 https://topmate.io/analyst/864764 Like this post if you need more 👍❤️ Hope it helps :)

5 common SQL mistakes and how to avoid them: 1️⃣ Using SELECT * in production queries: Retrieve only the columns you need to improve performance. 2️⃣ Using = NULLs in WHERE clauses: Always use IS NULL or IS NOT NULL for accurate filtering. 3️⃣ Not using aliases for readability: Make your queries cleaner and more understandable with table and column aliases. 4️⃣ Overcomplicating queries with subqueries: Simplify your logic with JOINs or Common Table Expressions (CTEs). 5️⃣ Using GROUP BY instead of DISTINCT: Use DISTINCT for unique records and avoid unnecessary complexity. Here you can find essential SQL Interview Resources👇 https://topmate.io/analyst/864764 Like this post if you need more 👍❤️ Hope it helps :)

How to Choose the Right Database ? The database you select will shape your application’s performance, scalability, and maintenance. Here's a guide to help you make the right choice: 1. Understand Your Data: Is your data relational (SQL), semi-structured (JSON/XML), or unstructured (text, images)? The type of data will influence your decision. 2. Scalability Needs: Will your app scale horizontally (adding more servers) or vertically (upgrading hardware)? Ensure your database can handle growth and increased traffic. 3. ACID or Eventual Consistency: Does your application need strict ACID compliance, or can it tolerate eventual consistency? 4. Query Performance: Consider the types of queries you’ll run and whether the database supports efficient indexing and query optimisation. 5. Tech Stack & Future Growth: Choose a database that integrates with your tech stack and can support your application’s growth over time. Here you can find essential SQL Interview Resources👇 https://topmate.io/analyst/864764 Like this post if you need more 👍❤️ Hope it helps :)