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Working with NoSQL-like Features in SQL: Arrays, HSTORE, and Semi-Structured Models

Kumar Prafull -
Table of Contents Introduction Why SQL Supports NoSQL-Like Structures Arrays in SQL: Definition and Use Cases Creating and Querying Array Columns Common Array Functions and Operators Unnesting Arrays with unnest() Searching...

Version Control for SQL Scripts: Git, Database Migrations, and Change Management

Kumar Prafull -
Table of Contents Introduction Why Version Control Matters for SQL Using Git to Track SQL Scripts Best Practices for Organizing SQL Repositories Commit Strategies for Schema and Data Scripts Understanding...

SQL Performance Tuning with EXPLAIN PLAN: Understanding Query Optimization

Kumar Prafull -
Table of Contents Introduction Why SQL Performance Tuning Matters What Is EXPLAIN PLAN? Basic Usage of EXPLAIN PLAN (PostgreSQL, MySQL, Oracle) Understanding Query Execution Stages Interpreting Rows, Cost, Width, Time Common...

SQL for Financial Analytics: Profit & Loss Reporting, Forecasting, and Ratio Analysis

Kumar Prafull -
Table of Contents Introduction Importance of SQL in Financial Analysis Core Financial Statements in Data Tables Building a Profit & Loss (P&L) Report in SQL Structuring Accounts: Revenue vs...

Data Warehousing Concepts in SQL: Understanding Star and Snowflake Schemas

Kumar Prafull -
Table of Contents Introduction What Is a Data Warehouse? OLTP vs OLAP: The Need for Warehousing Key Components of a Data Warehouse What Is Dimensional Modeling? Facts and Dimensions Explained The...

SQL with APIs and JSON Fields in PostgreSQL: Working with Semi-Structured Data

Kumar Prafull -
Table of Contents Introduction Why JSON Support Matters in Modern SQL PostgreSQL JSON vs JSONB Creating Tables with JSON Fields Inserting JSON Data (from APIs or files) Accessing JSON Properties...

SQL for Data Engineering: ETL Concepts and Building Scalable Data Pipelines

Kumar Prafull -
Table of Contents Introduction What Is Data Engineering and Why SQL Matters Understanding ETL (Extract, Transform, Load) SQL’s Role in Each ETL Stage Data Sources: Raw Data Ingestion with...

SQL for Data Analysis: Deep Dive into KPIs and Cohort Analysis

Kumar Prafull -
Table of Contents Introduction SQL’s Role in Data-Driven Decision Making Understanding KPIs in Business Context Designing KPIs with SQL Measuring Conversion Rates Calculating Retention and Churn Defining and Analyzing User Cohorts Building...

SQL for Business Intelligence & Reporting: From Raw Data to Insights

Kumar Prafull -
Table of Contents Introduction Role of SQL in Business Intelligence (BI) Key Metrics and KPIs in Reporting Data Preparation for Reporting Filtering and Slicing Data Aggregation and Grouping Techniques Common Analytical...

Analyzing Time-Series Data in SQL: Techniques for Temporal Queries

Kumar Prafull -
Table of Contents Introduction What Is Time-Series Data? Common Use Cases for Time-Based Analysis SQL Data Types for Timestamps Formatting and Parsing Date/Time Values Filtering Data by Time Range Truncating Time...

Working with JSON in SQL: Store, Query, and Manipulate Semi-Structured Data

Kumar Prafull -
Table of Contents Introduction Why Use JSON in Relational Databases? JSON Support Across SQL Dialects Creating Tables with JSON Columns Inserting JSON Data Retrieving JSON Fields Accessing Nested JSON Properties Modifying JSON...

Working with JSON in SQL: Storing, Querying, and Manipulating JSON Data

Kumar Prafull -
Table of Contents Introduction Why Use JSON in SQL Databases? Storing JSON Data in Tables JSON Data Types and Columns Basic JSON Syntax Inserting JSON Values Retrieving JSON Data Accessing JSON Fields...
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