May 2018
Beginner to intermediate
482 pages
11h 42m
English
Overview
Big Data Analytics with Hadoop 3 is your comprehensive guide to understanding and leveraging the power of Apache Hadoop for large-scale data processing and analytics. Through practical examples, it introduces the tools and techniques necessary to integrate Hadoop with other popular frameworks, enabling efficient data handling, processing, and visualization.
What this Book will help me do
- Understand the foundational components and features of Apache Hadoop 3 such as HDFS, YARN, and MapReduce.
- Gain the ability to integrate Hadoop with programming languages like Python and R for data analysis.
- Learn the skills to utilize tools such as Apache Spark and Apache Flink for real-time data analytics within the Hadoop ecosystem.
- Develop expertise in setting up a Hadoop cluster and performing analytics in cloud environments such as AWS.
- Master the process of building practical big data analytics pipelines for end-to-end data processing.
Author(s)
Sridhar Alla is a seasoned big data professional with extensive industry experience in building and deploying scalable big data analytics solutions. Known for his expertise in Hadoop and related ecosystems, Sridhar combines technical depth with clear communication in his writing, providing practical insights and hands-on knowledge.
Who is it for?
This book is tailored for data professionals, software engineers, and data scientists looking to expand their expertise in big data analytics using Hadoop 3. Whether you're an experienced developer or new to the big data ecosystem, this book provides the step-by-step guidance and practical examples needed to advance your skills and achieve your analytical goals.
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