Book

Simplify Big Data Analytics with Amazon EMR

This book will take you through the Amazon EMR architecture, features, and common use cases or problem statements it solves. You’ll discover how to configure it in production with scaling, monitoring, and security best practices, while also understanding different implementations of batch, real-time streaming, and interactive analytics workloads.

Offered by

Difficulty Level

Intermediate

Completion Time

14h20m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 14h20m total length

1. An Overview of Amazon EMR

2. Exploring the Architecture and Deployment Options

3. Common Use Cases and Architecture Patterns

4. Big Data Applications and Notebooks Available in Amazon EMR

5. Setting Up and Configuring EMR Clusters

6. Monitoring, Scaling, and High Availability

7. Understanding Security in Amazon EMR

8. Understanding Data Governance in Amazon EMR

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

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

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

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

13. Migrating On-Premises Hadoop Workloads to Amazon EMR

14. Best Practices and Cost Optimization Techniques

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