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Big Data Using Hadoop and Hive

Frontmatter

CONTENTS

Preface

Chapter 1: Big Data

Chapter 2: What is Apache Hadoop?

Chapter 3: The Hadoop Distribution Filesystem

Chapter 4: Getting Started with Hadoop

Chapter 5: Interfaces to Access HDFS Files

Chapter 6: Yet Another Resource Negotiator

Chapter 7: MapReduce

Chapter 8: Hive

Chapter 9: Getting Started with Hive

Chapter 10: File Format

Chapter 11: Data Compression

Index

Kumar, Nitin

This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is a concise guide on getting started with an overall understanding on Apache Hadoop and Hive and how they work together to speed up development with minimal effort. It will refer to simple concepts and examples, as they are likely to be the best teaching aids.

This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build...

Format

Big Data Using Hadoop and Hive

Nitin Kumar

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