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Big Data Using Hadoop and Hive
Big Data Using Hadoop and Hive

Big Data Using Hadoop and Hive: Master Big Data Solutions with Hadoop and Hive

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Profile Icon Mercury Learning and Information Profile Icon Nitin Kumar
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$54.99
eBook Jul 2024 206 pages 1st Edition
eBook
$54.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Nitin Kumar
Arrow right icon
$54.99
eBook Jul 2024 206 pages 1st Edition
eBook
$54.99
eBook
$54.99

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Key benefits

  • Provides comprehensive coverage of Hadoop 3 and Hive 3.x
  • Offers practical examples and sample code for real-world applications
  • Covers advanced topics like YARN, MapReduce, and data compression

Description

This book is a guide for developers and engineers to use Hadoop and Hive for scalable big data applications. It covers reading, writing, and managing large datasets with Hive and provides a concise introduction to Apache Hadoop and Hive, detailing their collaboration to simplify development. Through clear examples, the book explains the logic, code, and configurations needed for building successful distributed applications. The course starts with an introduction to big data and Apache Hadoop fundamentals. It then covers the Hadoop Distributed Filesystem and how to get started with Hadoop. The journey continues with interfaces to access HDFS files, resource management with Yet Another Resource Negotiator, and MapReduce for data processing. The book also explores Hive architecture, storage types, and the Hive query language. Mastering these concepts is vital for creating scalable big data solutions. This book ensures a smooth transition from novice to proficient Hadoop and Hive user, providing practical skills and comprehensive knowledge. By the end, readers will be able to set up, configure, and optimize Hadoop, utilize Hive for data management, and effectively solve big data challenges.

Who is this book for?

This book is designed for developers and data architects who want to harness the power of Hadoop and Hive for big data applications. Readers should have a basic understanding of programming and data management concepts. Prior experience with Java and SQL will be beneficial but is not mandatory.

What you will learn

  • Understand the fundamentals of big data and its challenges
  • Learn the architecture and components of Apache Hadoop
  • Configure and optimize Hadoop for your needs
  • Master HDFS for effective data storage and retrieval
  • Develop and run MapReduce programs
  • Utilize Hive for advanced data querying and management

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 26, 2024
Length: 206 pages
Edition : 1st
Language : English
ISBN-13 : 9781836646488
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Jul 26, 2024
Length: 206 pages
Edition : 1st
Language : English
ISBN-13 : 9781836646488
Category :
Concepts :

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Table of Contents

12 Chapters
Chapter 1: Big Data Chevron down icon Chevron up icon
Chapter 2: What is Apache Hadoop? Chevron down icon Chevron up icon
Chapter 3: The Hadoop Distribution Filesystem Chevron down icon Chevron up icon
Chapter 4: Getting Started with Hadoop Chevron down icon Chevron up icon
Chapter 5: Interfaces to Access HDFS Files Chevron down icon Chevron up icon
Chapter 6: Yet Another Resource Negotiator Chevron down icon Chevron up icon
Chapter 7: MapReduce Chevron down icon Chevron up icon
Chapter 8: Hive Chevron down icon Chevron up icon
Chapter 9: Getting Started with Hive Chevron down icon Chevron up icon
Chapter 10: File Format Chevron down icon Chevron up icon
Chapter 11: Data Compression Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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