What is Star Schema?
A star schema is a database schema used to store data in a star format. This schema consists of a […]
What is a Data Pipeline? – A Beginner-Friendly Tutorial
Imagine This Scenario: You’re working at a retail company that wants to understand customer behavior better. To do this, the […]
Multi-Hop Architectures in Databricks: A Comprehensive Guide
As organizations strive to harness the full potential of their data, implementing robust and scalable data pipelines has become a […]
Big Data, Distributed Storage, and Processing
1. What is Big Data and why is it a challenge? Big Data refers to the enormous amounts of data […]
Implementing Slowly Changing Dimension Type 2 (SCD2) for Real-Time Price Tracking in Delta Lake
In today’s data-driven world, businesses need to track historical changes in critical data while maintaining an accessible record of the […]
Streaming Deduplication in Delta Lake: A Hands-On Approach
In modern data architectures, managing real-time data streams effectively is essential for ensuring data integrity and accuracy. A common challenge […]
What is the CAP Theorem?
The CAP theorem is a foundational concept in distributed database systems, which explains the trade-offs between three critical properties: Consistency, […]
SQL vs. NoSQL Databases: Key Differences and When to Use Them
When it comes to databases, one of the most important decisions developers and data engineers face is choosing between SQL […]
Early vs. Late Materialization in Databases: Understanding the Differences
In query processing and optimization, the terms early materialization and late materialization refer to different strategies for when and how […]
Data Consistency Models: ACID vs. BASE Explained
In the world of databases, ensuring the integrity and reliability of data is crucial for building robust applications. Two fundamental […]