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Mastering Apache Spark 2.x - Second Edition

You're reading from  Mastering Apache Spark 2.x - Second Edition

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Pages 354 pages
Edition 2nd Edition
Languages

Table of Contents (21) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

Bare metal, virtual machines, and containers


It turns out that until the late 1990s, most of IT applications were deployed to bare metal machines. This means that you used some sort of server hardware and installed an operating system on it, and on top of that, your applications were installed.

But virtual machines are quite old. In fact, by the early 1960s, IBM was capable of running virtual machines on their mainframes, but it took decades until virtual machines experienced huge market adoption. Most likely, the reason for this was that consumer grade hardware was not powerful enough to run virtual systems efficiently. However, as we all know, this has changed dramatically.

Nowadays, a modern server can run hundreds of virtual machines and thousands of containers, but let's have a look at one after the other. So how do virtual machines work? In the following section, we'll first contrast a bare metal deployment with a virtual machine one.

The following figure illustrates such a bare metal...

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