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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

Cloud-based deployments


There are three different abstraction levels of cloud systems--Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). We will see how to use and install Apache Spark on all of these.

The new way to do IaaS is Docker and Kubernetes as opposed to virtual machines, basically providing a way to automatically set up an Apache Spark cluster within minutes. This will be covered inChapter 14, Apache Spark on Kubernetes.The advantage of Kubernetes is that it can be used among multiple different cloud providers as it is an open standard and also based on open source.

You even can use Kubernetes in a local data center and transparently and dynamically move workloads between local, dedicated, and public cloud data centers. PaaS, in contrast, takes away from you the burden of installing and operating an Apache Spark cluster because this is provided as a service.

There is an ongoing discussion whether Docker is IaaS or PaaS but, in our opinion, this is just a form of a lightweight preinstalled virtual machine. We will cover more on PaaS inChapter 13, Apache Spark with Jupyter Notebooks on IBM DataScience Experience.This is particularly interesting because the offering is completely based on open source technologies, which enables you to replicate the system on any other data center.

One of the open source components we'll introduce is Jupyter notebooks, a modern way to do data science in a cloud based collaborative environment. But in addition to Jupyter, there is also Apache Zeppelin, which we'll cover briefly in Chapter 14, Apache Spark on Kubernetes.

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Mastering Apache Spark 2.x - Second Edition
Published in: Jul 2017 Publisher: Packt ISBN-13: 9781786462749
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