Databricks Lakehouse Fundamentals
Completed by Ramakrishnan Ayyappan
May 16, 2026
1 hours (approximately)
Ramakrishnan Ayyappan's account is verified. Coursera certifies their successful completion of Databricks Lakehouse Fundamentals
What you will learn
Write PySpark and SparkSQL queries using lazy evaluation, the Catalyst optimizer, and broadcast join optimization
Schedule end-to-end data pipelines as multi-task Databricks Jobs with dashboards and alerting
Build and query Delta Lake tables with ACID transactions, schema enforcement, time travel, and MERGE-based incremental ETL
Skills you will gain
- Category: Apache Spark
- Category: Python Programming
- Category: Data Access
- Category: Data Management
- Category: Data Lakes
- Category: Data Processing
- Category: Data Pipelines
- Category: Data Wrangling
- Category: Data Storage
- Category: Data Warehousing
- Category: Data Integrity
- Category: Data Mining
