Optimize performance with Spark and Delta Live Tables

Intermediate
Data Engineer
Azure Databricks

Learn how to Optimize performance with Spark and Delta Live Tables in Azure Databricks.

Learning objectives

In this module, you learn how to:

  • Use serverless compute and parallelism with Delta live tables
  • Perform cost based optimization and query performance
  • Use Change Data Capture (CDC)
  • Apply enhanced autoscaling capabilities
  • Implement Observability and enhance data quality metrics

Prerequisites

Before starting this module, you should have a fundamental knowledge of data analytics concepts. Consider completing Azure Data Fundamentals certification before starting this module.