AI/ML with DataScience & DataEngineering
Series

Mastering Data Science, Analytics & Databases

This series is a complete guide to Data Science, Data Analytics, and Databases. It includes tutorials, SQL interview questions, optimization tips, and case studies to help professionals and beginners excel in this field.

Articles in this series

Simplifying Snowflake Architecture: What You Need to Know

Feb 14, 20257 min read

Understanding Snowflake Architecture in Simple Terms Introduction Snowflake is a cloud-based data warehouse that is widely used for storing and...

Essential Tips for Mastering Snowflake Scripting

Feb 14, 202544 min read

Key Concepts of Snowflake Scripting · 1. Understanding Stored Procedures in Snowflake A stored procedure is a collection of SQL statements that execute...

Essential Tips for Mastering Snowflake Scripting

Databricks Interview Questions: A Comprehensive Collection

Feb 18, 202525 min read

1. What is Apache Spark? Spark is a fast, in-memory data processing engine designed for large-scale analytics. Think of it as a "Swiss Army knife" for...

Databricks Interview Questions: A Comprehensive Collection

Spark Interview Questions Unveiled: Basic to Advanced Skill Assessment

Feb 19, 2025155 min read

1. What is Apache Spark? Why is it used? Apache Spark is a big data processing framework that enables fast, distributed computing using SQL queries....

Spark Interview Questions Unveiled: Basic to Advanced Skill Assessment

How Azure Databricks Improves Machine Learning Processes

Feb 20, 202529 min read

Introduction Azure Databricks is a cloud-based analytics platform optimized for big data and machine learning (ML) workflows. It integrates seamlessly...

How Azure Databricks Improves Machine Learning Processes

Data Engineering in Databricks: From Data Ingestion to Advanced ETL Simplified for Real-World Use Cases

Feb 20, 202511 min read

1. Data Ingestion in Databricks: The Foundation Data ingestion is the process of importing data from diverse sources (like CSV, Parquet, or databases)...

Data Engineering in Databricks: From Data Ingestion to Advanced ETL Simplified for Real-World Use Cases