Databricks Lakehouse Fundamentals
Completed by Anne Nielsen
September 18, 2026
1 hours (approximately)
Anne Nielsen'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: Data Processing
- Category: Data Storage
- Category: Data Lakes
- Category: Data Pipelines
- Category: Data Warehousing
- Category: Data Entry
- Category: Data Modeling
- Category: SQL
- Category: Data Mining
- Category: Data Presentation
- Category: Data Synthesis
- Category: Data Architecture
