Databricks for Data Engineering - PySpark, SQL and Delta Lake

Databricks for Data Engineering: PySpark, SQL & Delta Lake

https://WebToolTip.com

Published 4/2026
Created by Rahul Kumar Sharma
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 40 Lectures ( 6h 24m ) | Size: 2.35 GB

Learn Databricks with End to End using PySpark, SQL & Delta Lake to build real ETL pipelines

What you'll learn
✓ Understand how Databricks is used in real-world data engineering
✓ Build ETL pipelines using PySpark and SQL in Databricks
✓ Work with large datasets using Spark DataFrames
✓ Perform data transformations, joins, and aggregations
✓ Use Delta Lake for reliable and scalable data pipelines
✓ Design end-to-end data engineering workflows
✓ Load, process, and analyze data using Databricks notebooks
✓ Gain hands-on experience by building a complete data pipeline project
✓ Build complete end-to-end ETL pipelines using Databricks
✓ Work with PySpark DataFrames for real-world data processing
✓ Use SQL in Databricks for filtering, joins, and aggregations
✓ Perform data transformations on large datasets efficiently
✓ Understand and use Delta Lake features like update, merge, and time travel
✓ Design scalable data engineering workflows
✓ Work with real-world datasets inside Databricks notebooks

Requirements
● Willingness to learn and practice hands-on data engineering concepts
● Basic understanding of SQL is helpful but not required
● No prior experience with Databricks is needed
● Basic programming knowledge is a plus (not mandatory)
● A laptop or computer with internet access