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Overview
This course offers essential knowledge of Apache Spark, with a focus on its distributed architecture and practical applications for large-scale data processing. Participants will explore programming frameworks, learn the Spark DataFrame API, and develop skills for reading, writing, and transforming data using Python-based Spark workflows.
Introduction to Spark
Coming Soon...
Introduction to Spark Spark Runtime Architecture Exploring Apache Spark Architecture in Databbricks Introduction to Spark DataFrames and SQL Reading and Writing Data with DataFrames Distributed System Programming Fundamentals Basic ETL with the DataFrame API Flight Data ETL with the DataFrame API Analyzing Transaction Data with DataFrames
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