Post SQL Detailed Roadmap

SQL Detailed Roadmap | | | |-- Fundamentals | |-- Introduction to Databases | | |-- What SQL does | | |-- Relational model | | |-- Tables, rows, columns | |-- Keys and Constraints | | |-- Primary keys | | |-- Foreign keys | | |-- Unique and check constraints | |-- Normalization | | |-- 1NF, 2NF, 3NF | | |-- ER diagrams | | |-- Core SQL | |-- SQL Basics | | |-- SELECT, WHERE, ORDER BY | | |-- GROUP BY and HAVING | | |-- JOINS: INNER, LEFT, RIGHT, FULL | |-- Intermediate SQL | | |-- Subqueries | | |-- CTEs | | |-- CASE statements | | |-- Aggregations | |-- Advanced SQL | | |-- Window functions | | |-- Analytical functions | | |-- Ranking, moving averages, lag and lead | | |-- UNION, INTERSECT, EXCEPT | | |-- Data Management | |-- Data Types | | |-- Numeric, text, date, JSON | |-- Indexes | | |-- B tree and hash indexes | | |-- When to create indexes | |-- Transactions | | |-- ACID properties | |-- Views | | |-- Standard views | | |-- Materialized views | | |-- Database Design | |-- Schema Design | | |-- Star schema | | |-- Snowflake schema | |-- Fact and Dimension Tables | |-- Constraints for clean data | | |-- Performance Tuning | |-- Query Optimization | | |-- Execution plans | | |-- Index usage | | |-- Reducing scans | |-- Partitioning | | |-- Horizontal partitioning | | |-- Sharding basics | | |-- SQL for Analytics | |-- KPI calculations | |-- Cohort analysis | |-- Funnel analysis | |-- Churn and retention tables | |-- Time based aggregations | |-- Window functions for metrics | | |-- SQL for Data Engineering | |-- ETL Workflows | | |-- Staging tables | | |-- Transformations | | |-- Incremental loads | |-- Data Warehousing | | |-- Snowflake | | |-- Redshift | | |-- BigQuery | |-- dbt Basics | | |-- Models | | |-- Tests | | |-- Lineage | | |-- Tools and Platforms | |-- PostgreSQL | |-- MySQL | |-- SQL Server | |-- Oracle | |-- SQLite | |-- Cloud SQL | |-- BigQuery UI | |-- Snowflake Worksheets | | |-- Projects | |-- Build a sales reporting system | |-- Create a star schema from raw CSV files | |-- Design a customer segmentation query | |-- Build a churn dashboard dataset | |-- Optimize slow queries in a sample DB | |-- Create an analytics pipeline with dbt | | |-- Soft Skills and Career Prep | |-- SQL interview patterns | |-- Joins practice | |-- Window function drills | |-- Query writing speed | |-- Git and GitHub | |-- Data storytelling | | |-- Bonus Topics | |-- NoSQL intro | |-- Working with JSON fields | |-- Spatial SQL | |-- Time series tables | |-- CDC concepts | |-- Real time analytics | | |-- Community and Growth | |-- LeetCode SQL | |-- Kaggle datasets with SQL | |-- GitHub projects | |-- LinkedIn posts | |-- Open source contributions Free Resources to learn SQL • W3Schools SQL https://www.w3schools.com/sql/ • SQL Programming https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v • SQL Notes https://whatsapp.com/channel/0029Vb6hJmM9hXFCWNtQX944 • Mode Analytics SQL tutorials https://mode.com/sql-tutorial/ • Data Analytics Resources https://t.me/sqlspecialist • HackerRank SQL practice https://www.hackerrank.com/domains/sql • LeetCode SQL problems https://leetcode.com/problemset/database/ • Data Engineering Resources https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C • Khan Academy SQL basics https://www.khanacademy.org/computing/computer-programming/sql • PostgreSQL official docs https://www.postgresql.org/docs/ • MySQL official docs https://dev.mysql.com/doc/ • NoSQL Resources https://whatsapp.com/channel/0029VaxA2hTHgZWe5FpFjm3p Double Tap ❤️ For More