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    Solve Faang SQL Problems And SQL Projects

    Posted By: lucky_aut
    Solve Faang SQL Problems And SQL Projects

    Solve Faang SQL Problems And SQL Projects
    Published 7/2024
    Duration: 4h16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.67 GB
    Genre: eLearning | Language: English

    SQL QUERIES ASKED IN FAANG AND MNCs AND REAL-TIME SQL PROJECTS AND CASE STUDIES


    What you'll learn
    SOLVEING FAANG SQL QUERIES ASKED IN PRODUCT BASED MNCs
    HOW TO SOLVE SQL QUERIES
    BASIC TO ADVANCED SQL QUERIES
    SQL QUERIES FROM SCRATCH

    Requirements
    Basic SQL Knowledge
    No Programming SQL Needed, I will teach all the queries from scratch.

    Description
    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
    Will be adding more content to the same course in coming days.
    Who this course is for:
    Professionals who are preparing for SQL Developer Interviews
    For Data Analysts
    For Data Engineers

    More Info