Tech Talk - Top Tuning Tips for Spark 3.0 and Delta Lake on Databricks

This course covers the top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. The learning outcomes include understanding when to use different join operations, selecting appropriate machine sizes, speeding up merge operations, and simplifying job processes. The course teaches skills such as utilizing the latest version of Databricks Runtime, optimizing join strategies, leveraging Apache Spark 3.0 features like Adaptive Query Execution (AQE), and implementing techniques like Partition Pruning, Data Skipping, and Z-Ordering. The teaching method involves a tech talk format with discussions led by industry experts. The intended audience includes data engineers, data scientists, and professionals working with big data processing and analytics projects.