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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
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Chanchal Singh
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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

Logical view of Hadoop in the cloud

The usability of infrastructure in the cloud has been increasing at a rapid speed. The companies who were worrying about adopting the cloud for its computing and storage needs due to security and availability now have enough confidence as there have been lots of improvements on the architecture and features being made by different cloud service providers. Apache Hadoop started with on premises deployment and during the initial years of the Hadoop foundation, the Hadoop infrastructure was mainly set up using self-managed infrastructure. But over the last few years, cloud service providers have given focus to the Hadoop infrastructure and now we have everything that's needed for a big data/Hadoop setup. Today, almost every company moving to big data adaptability is using the cloud for their data storage and infrastructure needs. In this section...

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