AWS EMR Full Course: A Comprehensive Guide to Big Data Processing

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This comprehensive guide delves into AWS EMR (Elastic MapReduce), a powerful managed service that simplifies big data processing. This course covers everything from configuring and launching an EMR cluster to submitting Spark ETL jobs, utilizing Hive and Pig, orchestrating workflows with Step Functions, and implementing auto-scaling. All necessary resources, including a GitHub repository for the code, are linked in the description below.

Table of Contents

1. Introduction to AWS EMR
2. Setting Up Your Environment
3. Creating an EMR Cluster
4. Submitting a Spark ETL Job
5. Sample PySpark Transformation Job
6. Using Hive and Pig
7. Orchestrating with Step Functions
8. Implementing Auto-Scaling
9. Conclusion

Introduction to AWS EMR

AWS EMR is a managed cluster platform that simplifies the execution of big data frameworks such as Apache Hadoop, Apache Spark, Apache Hive, and Apache Pig. It enables users to process large volumes of data quickly and cost-effectively.

Key Terminology

• Master Node: Manages…