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

User authorization


Once the identity of the end user is established via Kerberos authentication, the next step in Hadoop security is to ensure what actions or services those established identities can perform. Authorization deals with that. In the following sections, we will look into how authorization rules can be established for different users across different services and how data is stored in HDFS. We will look into two different types of tools that facilitate centralized security policy management for authorization. Let's look into these in brief.

Ranger

The following diagram represents the architecture of the Ranger tool, which lets you centrally manage security policies for different Hadoop services:

As shown in the preceding diagram, all policies are centrally managed through an administrative web portal. The portal has three distinct parts, namely auditing, KMS, and the policy server. The policy server has several different functionalities. The following are the prime functions of...