Tutorials
Practical, example-driven tutorials covering ETL, SQL, Python, pipelines, and cloud data — organized from beginner to advanced.
How ETL Pipelines Work
A step-by-step walkthrough of Extract, Transform, Load with a practical example.
Read guide →SQL Joins Explained
INNER, LEFT, RIGHT and FULL joins explained with diagrams and sample queries.
Read guide →Python for Data Cleaning
Use pandas to handle missing values, duplicates, and inconsistent formats.
Read guide →Building a Simple Data Pipeline
Combine extraction, transformation, and loading into one working example.
Read guide →Batch vs Streaming Data
Understand the two fundamental ways data can be processed.
Read guide →Data Warehouse Basics
Learn the core building blocks of modern analytical warehouses.
Read guide →Apache Spark Introduction
An approachable first look at distributed data processing with Spark.
Read guide →Airflow Workflow Basics
Learn how DAGs, tasks, and schedules coordinate real pipelines.
Read guide →Data Quality Checks
Practical rules and checks that keep pipelines trustworthy.
Read guide →Cloud Data Storage Basics
A friendly introduction to object storage and data lakes.
Read guide →