Udemy – SOLVE FAANG SQL PROBLEMS AND SQL PROJECTS

FAANG companies (Facebook, Apple, Amazon, Netflix, Google) often ask SQL queries in their interviews to evaluate candidates’ abilities to work with data, solve complex problems, and think analytically. To excel in FAANG SQL interviews, here are some steps and tips to tackle these queries effectively:

1. Understand the Problem

• Read the Query Description Carefully: Ensure you understand what the question is asking. Look for key requirements and constraints.
• Identify Input Tables: Know which tables are involved and what data they contain. This may involve reading a schema or understanding table relationships.

2. Break Down the Query

• Identify Requirements: What are you supposed to find or calculate? For example, are you aggregating data, filtering results, or joining tables?
• Determine the Output: Understand what the final output should look like. What columns should be returned, and how should the results be ordered or grouped?

3. Design the Query

• Choose the Right SQL Constructs: Depending on the requirements, decide if you need JOIN, GROUP BY, HAVING, WHERE, or other SQL clauses.
• Write the Query in Steps: Start by writing simpler parts of the query and gradually build it up. This helps in debugging and ensures you don’t miss any details.

4. Optimize the Query

• Check Performance: If dealing with large datasets, consider indexing or optimizing joins to improve performance.
• Avoid Unnecessary Operations: Remove redundant calculations or filters that do not contribute to the final result.

5. Test Your Query

• Validate Results: Test your query with sample data to ensure it produces correct results. Compare with expected outcomes if available.
• Edge Cases: Consider edge cases and special scenarios like empty tables or large volumes of data.

6 SOLVE FAANG SQL QUERIES AND SQL REAL-TIME PROJECTS  WITH CASE – STUDIES

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