Nitin Kumar

Big Data Using Hadoop and Hive (eBook, ePUB)

Master Big Data Solutions with Hadoop and Hive
Redaktion: Information, Mercury Learning and

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 206
• Erscheinungstermin: 26. Juli 2024
• Englisch
• ISBN-13: 9781836646488
• Artikelnr.: 71337367

Autorenporträt

Kumar Nitin : Nitin Kumar has 18+ years of overall IT experience with technical specialties in architecture, systems analysis, design, performance tuning, and execution on a Distributed Parallel Processing system. He has published books and papers with special focus on Agile, Big Data, streaming, Java, and re-factoring.

Inhaltsangabe

1: Big Data
2: What Is Apache Hadoop?
3: The Hadoop Distribution File System
4: Getting Started with Hadoop
5: Interfaces to Access HDFS Files
6: Yet Another Resource Negotiator
7: MapReduce
8: Hive
9: Getting Started with Hive
10: File Format
11: Data Compression
Index