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

High availability (HA)


High availability (HA) is a primary focus for all the framework or application available today. The application can be deployed either on-premise or over the cloud. There are many cloud service providers available today, such as Amazon AWS, Microsoft Azure, Google Cloud Platform, IBM Cloud, and so on. Achieving high availability using on-premise deployment has limited capability, for example even if we have multi node clusters available on-premise that have both HDFS storage and a processing engine up and running, it does not guarantee the required high level of availability in case any disaster happens. It requires also strict monitoring of the on-premise cluster in order to avoid any major loss and guaranteeing high availability. 

In other words, cloud services provide more robust and reliable high availability features and there are multiple scenarios for considering what level of high availability we want to achieve it. Let us look into few conceptual scenarios...