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Mastering Hadoop 3

You're reading from   Mastering Hadoop 3 Big data processing at scale to unlock unique business insights

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Length 544 pages
Edition 1st Edition
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Authors (3):
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Timothy Wong Timothy Wong
Author Profile Icon Timothy Wong
Timothy Wong
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction to Hadoop 3 FREE CHAPTER
2. Journey to Hadoop 3 3. Deep Dive into the Hadoop Distributed File System 4. YARN Resource Management in Hadoop 5. Internals of MapReduce 6. Section 2: Hadoop Ecosystem
7. SQL on Hadoop 8. Real-Time Processing Engines 9. Widely Used Hadoop Ecosystem Components 10. Section 3: Hadoop in the Real World
11. Designing Applications in Hadoop 12. Real-Time Stream Processing in Hadoop 13. Machine Learning in Hadoop 14. Hadoop in the Cloud 15. Hadoop Cluster Profiling 16. Section 4: Securing Hadoop
17. Who Can Do What in Hadoop 18. Network and Data Security 19. Monitoring Hadoop 20. Other Books You May Enjoy

Preface

In this book, we will examine advanced concepts of the Hadoop ecosystem and build high-performance Hadoop data pipelines with security, monitoring, and data governance.

We will also promote enterprise-grade applications using Apache Spark and Flink. This book teaches the internal workings of Hadoop, which includes building solutions to some real-world use cases. We will master the best practices for enterprises using Hadoop 3 as a data platform, including authorization and authentication. We will also learn how to model data in Hadoop, gain an in-depth understanding of distributed computing using Hadoop 3, and explore the different batch data-processing patterns.

Lastly, we will understand how components in the Hadoop ecosystem can be integrated effectively to implement a fast and reliable big data pipeline.

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