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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details

Table of Contents (23) Chapters

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
Journey to Hadoop 3 Deep Dive into the Hadoop Distributed File System YARN Resource Management in Hadoop Internals of MapReduce SQL on Hadoop Real-Time Processing Engines Widely Used Hadoop Ecosystem Components Designing Applications in Hadoop Real-Time Stream Processing in Hadoop Machine Learning in Hadoop Hadoop in the Cloud Hadoop Cluster Profiling Who Can Do What in Hadoop Network and Data Security Monitoring Hadoop Other Books You May Enjoy 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...

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