Simplify Big Data Analytics with Amazon EMR
A beginner's guide to learning and implementing Amazon EMR for building data analytics solutions
Created by Sakti Mishra
Get hands-on with Amazon EMR and learn how to build scalable data analytics solutions in the AWS cloud. Understand the architecture, deployment options, and best practices to run batch and real-time data pipelines efficiently. Gain practical experience configuring, securing, and optimizing EMR for your analytics workloads.
Packt | Mar 2022 | 430 min
What You Will Learn
You will start by exploring the core features and architecture of Amazon EMR, then move on to practical configuration and deployment tasks. Through real-world examples, you will implement both batch and streaming analytics pipelines, apply security and monitoring, and learn to troubleshoot and optimize your solutions.
Key Features
- Set up and manage scalable EMR clusters for batch and real-time data analytics
- Apply security, monitoring, and cost optimization best practices in production
- Migrate on-premises Hadoop workloads to EMR and orchestrate jobs using AWS tools
Target Audience
Designed for data engineers, analysts, scientists, and solution architects with basic AWS and Hadoop knowledge. If you want to build or migrate data analytics pipelines using EMR and are comfortable with Python, Scala, or Java, you will gain the practical skills needed to deliver robust analytics solutions in the cloud.
