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Overview
This course explores the Lakehouse architecture and Medallion design for scalable data workflows, focusing on Unity Catalog for secure data governance, access control, and lineage tracking. The curriculum includes building reliable, ACID-compliant pipelines with Delta Lake. You'll examine Spark optimization techniques, such as partitioning, caching, and query tuning, and learn performance monitoring, troubleshooting, and best practices for efficient data engineering and analytics to address real-world challenges.
Monitoring and Optimizing Apache Spark Workloads on Databricks
Coming Soon...
Monitoring and Optimizing Apache Spark Workloads on Databricks Apache Spark and Databricks Using Apache Spark with Delta Lake Demo: Introduction to Delta Lake Lab: Introduction to Delta Lake Optimizing Apache Spark Demo: Optimizing Apache Spark Lab: Optimizing Apache Spark
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