Book Image

Mastering Hadoop 3

By : Chanchal Singh, Manish Kumar
Book Image

Mastering Hadoop 3

By: Chanchal Singh, Manish Kumar

Overview of this book

Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines.
Table of Contents (23 chapters)
Title Page
Dedication
About Packt
Foreword
Contributors
Preface
Index

Logical view of Hadoop in the cloud


The usability of infrastructure in the cloud has been increasing at a rapid speed. The companies who were worrying about adopting the cloud for its computing and storage needs due to security and availability now have enough confidence as there have been lots of improvements on the architecture and features being made by different cloud service providers. Apache Hadoop started with on premises deployment and during the initial years of the Hadoop foundation, the Hadoop infrastructure was mainly set up using self-managed infrastructure. But over the last few years, cloud service providers have given focus to the Hadoop infrastructure and now we have everything that's needed for a big data/Hadoop setup. Today, almost every company moving to big data adaptability is using the cloud for their data storage and infrastructure needs. In this section, we will talk about how the logical architecture for Hadoop looks over the cloud:

  • Ingestion layer: Data ingestion...