March 2022
Beginner to intermediate
430 pages
9h 24m
English
Overview
Simplify Big Data Analytics with Amazon EMR is a thorough guide to harnessing Amazon's EMR service for big data processing and analytics. From distributed computation pipelines to real-time streaming analytics, this book provides hands-on knowledge and actionable steps for implementing data solutions efficiently.
What this Book will help me do
- Understand the architecture and key components of Amazon EMR and how to deploy it effectively.
- Learn to configure and manage distributed data processing pipelines using Amazon EMR.
- Implement security and data governance best practices within the Amazon EMR ecosystem.
- Master batch ETL and real-time analytics techniques using technologies like Apache Spark.
- Apply optimization and cost-saving strategies to scalable data solutions.
Author(s)
Sakti Mishra is a seasoned data professional with extensive expertise in deploying scalable analytics solutions on cloud platforms like AWS. With a background in big data technologies and a passion for teaching, Sakti ensures practical insights accompany every concept. Readers will find his approach thorough, hands-on, and highly informative.
Who is it for?
This book is perfect for data engineers, data scientists, and other professionals looking to leverage Amazon EMR for scalable analytics. If you are familiar with Python, Scala, or Java and have some exposure to Hadoop or AWS ecosystems, this book will empower you to design and implement robust data pipelines efficiently.
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