Databricks Lakehouse Fundamentals
Completed by Svetlana Bacheva Avramova
June 23, 2026
1 hours (approximately)
Svetlana Bacheva Avramova'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: Python Programming
- Category: Data Entry
- Category: Data Warehousing
- Category: Data Modeling
- Category: SQL
- Category: Apache Spark
- Category: Databricks
- Category: Data Mining
- Category: Data Presentation
- Category: Data Pipelines
- Category: Data Wrangling
- Category: Data Integrity
