Simplify Big Data Analytics with Amazon EMR

person icon Packt Publishing

Simplify Big Data Analytics with Amazon EMR

Simplify Big Data Analytics with Amazon EMR


This eBook includes

Formats : PDF (Read Only)

Pages : 430

ISBN : 9781801077729

Language : English

About the Book

Book description

Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services

Key Features

  • Build data pipelines that require distributed processing capabilities on a large volume of data
  • Discover the security features of EMR such as data protection and granular permission management
  • Explore best practices and optimization techniques for building data analytics solutions in Amazon EMR

Book Description

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.

This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.

By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

What you will learn

  • Explore Amazon EMR features, architecture, Hadoop interfaces, and EMR Studio
  • Configure, deploy, and orchestrate Hadoop or Spark jobs in production
  • Implement the security, data governance, and monitoring capabilities of EMR
  • Build applications for batch and real-time streaming data analytics solutions
  • Perform interactive development with a persistent EMR cluster and Notebook
  • Orchestrate an EMR Spark job using AWS Step Functions and Apache Airflow

Who this book is for

This book is for data engineers, data analysts, data scientists, and solution architects who are interested in building data analytics solutions with the Hadoop ecosystem services and Amazon EMR. Prior experience in either Python programming, Scala, or the Java programming language and a basic understanding of Hadoop and AWS will help you make the most out of this book.

Simplify Big Data Analytics with Amazon EMR

eBook Preview

Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

Our students work
with the Best

Related eBooks

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us