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Overview
In this course, you’ll learn how to optimize workloads and physical layout with Spark and Delta Lake and and analyze the Spark UI to assess performance and debug applications. We’ll cover topics like streaming, liquid clustering, data skipping, caching, photons, and more.
Note: This course is part of the 'Advanced Data Engineering with Databricks' course series.
Spark Architecture Designing the Foundation File Explosion Code Optimization Fine-Tuning - Choosing the Right Cluster
The content was developed for participants with these skills/knowledge/abilities:
Coming Soon...
Spark Architecture Spark UI Introduction Designing the Foundation File Explosion Introduction to Designing Foundation File Explosion Data Skipping and Liquid Clustering Lab: Data Skipping and Liquid Clustering Code Optimization Skew Shuffle Spill Lab: Exploding Join Serialization User-Defined Functions Fine-Tuning - Choosing the Right Cluster Fine-Tuning: Choosing the Right Cluster Pick the Best Instance Types
Spark Architecture
Designing the Foundation File Explosion
Code Optimization
Fine-Tuning - Choosing the Right Cluster
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