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Mastering Apache Spark 2.x

You're reading from   Mastering Apache Spark 2.x Advanced techniques in complex Big Data processing, streaming analytics and machine learning

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Length 354 pages
Edition 2nd Edition
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Author (1):
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Romeo Kienzler Romeo Kienzler
Author Profile Icon Romeo Kienzler
Romeo Kienzler
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Table of Contents (15) Chapters Close

Preface 1. A First Taste and What’s New in Apache Spark V2 FREE CHAPTER 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

Understanding Kubernetes

Kubernetes (K8s) is an orchestrator of containers. It supports various container technologies, but here we'll concentrate on Docker.

So let's have a look at the Kubernetes architecture:

As in nearly every cluster infrastructure, there exists a master node managing the whole of the cluster. So let's have a brief look at the responsibilities of each of its components:

  • API server: The API server provides a means of communication between the Kubernetes cluster and external system administrators. It provides a REST API used by the kubectl command line tool. This API can also be used by other consumers, making it possible to plug-in Kubernetes in existing infrastructures and automated processes.
  • Controller manager: The controller...
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