Big Data Using Hadoop and Hive / / Nitin Kumar.
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 b...
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| Superior document: | Title is part of eBook package: De Gruyter MLI AI COLLECTION |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (192 p.) |
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Table of Contents:
- 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