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Simplify Big Data Analytics with Amazon EMR

You're reading from  Simplify Big Data Analytics with Amazon EMR

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801071079
Pages 430 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Sakti Mishra Sakti Mishra
Profile icon Sakti Mishra

Table of Contents (19) Chapters

Preface Section 1: Overview, Architecture, Big Data Applications, and Common Use Cases of Amazon EMR
Chapter 1: An Overview of Amazon EMR Chapter 2: Exploring the Architecture and Deployment Options Chapter 3: Common Use Cases and Architecture Patterns Chapter 4: Big Data Applications and Notebooks Available in Amazon EMR Section 2: Configuration, Scaling, Data Security, and Governance
Chapter 5: Setting Up and Configuring EMR Clusters Chapter 6: Monitoring, Scaling, and High Availability Chapter 7: Understanding Security in Amazon EMR Chapter 8: Understanding Data Governance in Amazon EMR Section 3: Implementing Common Use Cases and Best Practices
Chapter 9: Implementing Batch ETL Pipeline with Amazon EMR and Apache Spark Chapter 10: Implementing Real-Time Streaming with Amazon EMR and Spark Streaming Chapter 11: Implementing UPSERT on S3 Data Lake with Apache Spark and Apache Hudi Chapter 12: Orchestrating Amazon EMR Jobs with AWS Step Functions and Apache Airflow/MWAA Chapter 13: Migrating On-Premises Hadoop Workloads to Amazon EMR Chapter 14: Best Practices and Cost-Optimization Techniques Other Books You May Enjoy

Summary

Over the course of this chapter, we have looked at an overview of different migration strategies you can follow while migrating your on-premises Hadoop workloads to AWS, and how you can migrate data, metadata, and ETL jobs. We then covered a few testing and validation strategies you can follow to check the quality of your data, and also discussed some of the best practices you can follow during the migration process.

That concludes this chapter! Hopefully, this helped you get an idea of how you can plan your migration and some of the aspects you should be considering. In the next chapter, we will examine some of the best practices for EMR, along with how you can optimize costs while integrating your ETL flows.

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