In this course, I will be explaining to most famous data platform - Databricks. The reach of this data platform in beyond comprehension. Any organization that deals with data, think of Databricks as the first technology tool to work with that data. It is imperative that any person who wants to pursue Data Engineering or Data Architect as a career choice will come across the backbones of it - Spark & Databricks.

Following are the high level topics:

• Unity Catalog
• Delta Tables
• Medallion Architecture using Databricks
• Batch & Stream Processing using Spark on Databricks
• Databricks Notebook & Job
• Pipeline Orchestration using Lakeflow
• Data Sharing
• Data Warehousing on Databricks
• Lakebase
• Git & CI/CD on Databricks
• Data Governance
• Databricks SQL & CLI
• Compute on Databricks

Hands-On practice is divided into 3 parts:

1. Hands-On Lab & Demo using Finance dataset
2. Exercise - Build Customer 360 Application using CRM & ERP dataset
3. Projects - You will get datasets (generated by me, not from internet) for project implementation. I have generated the datasets based on the experience that I have gained working in 2 of the MAANG companies.

After completing this course you should be able to clear the following certification

Databricks Certified Data Engineer Professional

Databricks Certified Data Engineer Associate

At the end of the course, there will be practice exam for Professional certification (you can expect at least 60-70% questions from there)