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:

You have terabyte-scale data available in Amazon S3 and your data analysts are looking for a query engine using which they can interactively query the data using SQL. You already have a persistent EMR cluster, which is being used for multiple ETL workloads, and to save costs you are looking for an application within EMR that can provide the interactive query engine needed. Which big data application in EMR best fits your need?
Your team is using EMR with Spark for multiple ETL workloads and it uses Amazon S3 as the persistent data store. For one of the use cases, you receive data that does not have a fixed schema and you are looking for a NoSQL solution that can provide data update capabilities and also can provide fast lookup. Which EMR big data application can support this technical requirement?
Your data scientists are looking for a web-based notebook that...

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