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Overview
Master scalable data processing with Apache Spark in this hands-on course. Learn to build efficient ETL pipelines, perform advanced analytics, and optimize distributed data transformations using Spark’s DataFrame API. Explore grouping, aggregation, joins, set operations, and window functions. Work with complex data types like arrays, maps, and structs while applying best practices for performance optimization.
Developing Applications with Spark
Coming Soon...
Developing Applications with Spark DataFrame API Basics Demo: (Optional) Basic ETL with the DataFrame API Grouping and Aggregating Data Demo: Grouping and Aggregating Data Lab: Grouping and Aggregating E-Commerce Data Relational Operations Demo: Data Relational Operations in Apache Spark Working with Complex Data Demo: Working with Complex Data Types in Apache Spark Lab: Working with Complex Data Types in E-Commerce Data
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