Databricks
Databricks Certified Data Engineer Associate
Chapter 01
The Databricks Data Intelligence Platform, Delta Lake, and Unity Catalog
Chapter 02
Choosing Databricks Compute for Each Workload
Chapter 03
Ingestion Patterns and COPY INTO
Chapter 04
Incremental Ingestion with Auto Loader
Chapter 05
Lakeflow Connect, JDBC/ODBC, REST, and Choosing an Ingestion Method
Chapter 06
Cleaning and Combining Data with PySpark and SQL
Chapter 07
Deduplication, Aggregations, and Basic Spark Tuning
Chapter 08
Gold Layer Objects and Data Quality with Lakeflow Spark Declarative Pipelines
Chapter 09
Orchestrating Pipelines with Lakeflow Jobs
Chapter 10
Scheduling and Triggering Lakeflow Jobs
Chapter 11
CI/CD with Git Folders and Declarative Automation Bundles
Chapter 12
Monitoring Jobs and Troubleshooting Spark Workloads
Chapter 13
Data Layout Optimization: Liquid Clustering and Predictive Optimization
Chapter 14
Unity Catalog Tables and Access Control
Chapter 15
Row Filters, Column Masks, and ABAC Policies