You're reading from Simplify Big Data Analytics with Amazon EMR A beginner's guide to learning and implementing Amazon EMR for building data analytics solutions

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781801071079

Length 430 pages

Edition 1st Edition

Tools

Amazon EMR

Concepts

Big Data

Author (1):

Sakti Mishra

Preface

1. Section 1: Overview, Architecture, Big Data Applications, and Common Use Cases of Amazon EMR

2. Chapter 1: An Overview of Amazon EMR FREE CHAPTER

3. Chapter 2: Exploring the Architecture and Deployment Options

4. Chapter 3: Common Use Cases and Architecture Patterns

5. Chapter 4: Big Data Applications and Notebooks Available in Amazon EMR

6. Section 2: Configuration, Scaling, Data Security, and Governance

7. Chapter 5: Setting Up and Configuring EMR Clusters

8. Chapter 6: Monitoring, Scaling, and High Availability

9. Chapter 7: Understanding Security in Amazon EMR

10. Chapter 8: Understanding Data Governance in Amazon EMR

11. Section 3: Implementing Common Use Cases and Best Practices

12. Chapter 9: Implementing Batch ETL Pipeline with Amazon EMR and Apache Spark

13. Chapter 10: Implementing Real-Time Streaming with Amazon EMR and Spark Streaming

14. Chapter 11: Implementing UPSERT on S3 Data Lake with Apache Spark and Apache Hudi

15. Chapter 12: Orchestrating Amazon EMR Jobs with AWS Step Functions and Apache Airflow/MWAA

16. Chapter 13: Migrating On-Premises Hadoop Workloads to Amazon EMR

17. Chapter 14: Best Practices and Cost-Optimization Techniques

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Test your knowledge

Before moving on to the next chapter, test your knowledge with the following questions:

Assume you have multiple batch and streaming ETL workloads that use different transient EMR clusters for distributed processing. Your organization is looking for a persistent centralized data catalog that can help the data governance team get a unified view. Between AWS Glue Data Catalog and Hive Metastore, which one is better suited?
Assume you have an on-premises Hadoop cluster that uses Apache Ranger for fine-grained access control. You are planning to migrate your on-premises Hadoop cluster to Amazon EMR in AWS to take benefit of cloud security, reliability, and scaling capabilities. For your Ranger server, you have configured custom TLS certificates that you plan to integrate into EMR. How should you integrate the TLS certificates into EMR?
Assume you are part of a bigger enterprise that has multiple departments and each department has its own AWS account...

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