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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

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.

Who is this book 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.

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

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

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DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Simplify Big Data Analytics with Amazon EMR

$48.99

Actionable Insights with Amazon QuickSight

$48.99

$54.99

Total $ 152.97

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Amazon verified reviews

Vishwa Apr 06, 2022

This book provides great in-depth and step by step guide to learn Amazon EMR which is the leading cloud big data platform. This book solves a gap by collating all the content in one location with regards to Big Data / Governance / Security using Amazon EMR and will significantly reduce time to learn and be expert in Amazon EMR.It's a MUST HAVE resource for big data architect / engineers working on AWS and Amazon EMR, also it's a great resource for organizations evaluation cloud big data options and want to dive deep into the capabilities of Amazon EMR.

Amazon Verified review

Prashant Chaudhari Apr 30, 2022

Highly recommend this book to all beginners who are new to data analytics in AWS.I am a beginner to big data analytics domain and this book gave me a great kick start to accelerate my learning. The first part of the book provides great theoretical details on big data, Amazon EMR features and its integration with other AWS services to implement different architecture patterns.The second and third parts dives deep into advance topics including security, data governance, orchestration, cost optimization etc. The best thing about the book is its practical examples to explain each topic that helped to relate things better.After reading this book, you will feel very confident about EMR and how to implement data pipelines in AWS.

Marshal Mishra Apr 30, 2022

Coming from a non Big Data or data engineering background, this book helped me a lot to gain insights about Big Data fundamentals, Hadoop ecosystem services and how that integrated with Amazon EMR & AWS. It goes very deep into Amazon EMR and its implementation, which will make you feel very confident.The first part of the book, which focusses on fundamentals of big data, AWS and use case based architecture patterns was very helpful for me as I didn't had any background on Hadoop/Spark or big data analytics.Highly Recommended.

Naseer Sayyad Apr 12, 2022

I really enjoyed learning from this book, that has dived deep into Amazon EMR. Even if I had exposure to Big Data Hadoop & Spark, but learning how that relates to AWS cloud was a great value add for me. It covers the theoretical fundamentals for beginners and also practical use case based implementations for professionals that makes it really worth. It is really well researched and put together, the author has pen down his experience into it, which is what I liked the most compared to any other materials available in the internet.I would highly recommend this book to all data engineers and analysts who are getting started with Amazon EMR.

Vijay Shekhar Rao May 04, 2022

Thoroughly enjoyed reading this book on Big Data Analytics with Amazon EMR from Sakti Mishra.The book is divided in 14 small bite sized chapters classified under three main sections. This takes you through the entire journey right from EMR overview, to Architecture and Deploying clusters, to EMR use-cases and reference architectures pertaining to those use-cases. it covers operational aspects like monitoring, scaling and making the environment highly available. It covers security and data governance with EMR and finally wraps up with best practices and cost optimization techniques.Being very new in Big Data this has certainly helped me understand this area and will be my go to reference material on this topic in the future.

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

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