SQL - Blogs

This blog provides a complete guide to SQL Window Functions, covering essential components like OVER(), PARTITION BY, ORDER BY, and ROWS BETWEEN. It explains popular functions like ROW_NUMBER(), RANK(), LAG(), LEAD(), and SUM() with practical examples, use cases, and tips to help beginners and professionals master SQL analytics. Read More »

This blog provides a comprehensive comparison between SQL and popular relational database systems including MySQL, PostgreSQL, MS SQL Server, Oracle, SQLite, and MariaDB. It explains their differences, use cases, strengths, limitations, and licensing models—helping both beginners and professionals choose the right database for their applications. Read More »

Learn how to overcome MySQL’s column and row-size limits with five powerful strategies, including engine tweaks, schema design patterns, and modern JSON/EAV approaches. Read More »

This blog post demystifies database normalization and denormalization for beginners. You’ll learn why and when to split or combine tables, see detailed explanations of 1NF–5NF and BCNF, and follow along with relatable examples using Indian names. Read More »

This blog explains the key differences between Data Lake, Data Lakehouse, Data Warehouse, and Data Mart. It covers their roles in modern data architecture, why traditional databases are not enough for analytical needs, and how these components work together in a hierarchy to support scalable, efficient, and purpose-driven data management. Read More »

HTAP databases revolutionize data processing by combining transactional and analytical workloads in a single system. This blog explores their architecture, query optimization techniques, performance benefits, and practical SQL examples, helping businesses achieve real-time insights without ETL delays. Read More »

Learn about different types of SQL joins, including INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, CROSS JOIN, and SELF JOIN, with clear explanations and practical examples. Read More »

In the rapidly evolving world of database management systems (DBMS), understanding the key differences between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) is critical for database administrators, data engineers, and software developers. Read More »

When working with SQL databases, understanding the fundamental differences between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems is crucial. Both systems serve distinct purposes, and SQL handles query optimization differently in each case. Read More »