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Big Data with Hadoop MapReduce
ISBN-13:
9781000439083
Veröffentl:
2020
Seiten:
426
Autor:
Rathinaraja Jeyaraj
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:
The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines. This book covers almost all the necessary information on Hadoop MapReduce for most online certification exams. Upon completing this book, readers will find it easy to understand other big data processing tools such as Spark, Storm, etc.
Preface. 1. Introduction to Big Data. 2. Hadoop Framework. 3. Hadoop 1.2.1 Installation. 4. Hadoop Ecosystem. 5. Hadoop 2.7.0. 6. Hadoop. 2.7.0 Installation. 7. Data Science. 8. MapReduce Exercise. 9. Case Study: Application Development for NYSE Dataset.
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