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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781786462749

Length 354 pages

Edition 2nd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Big Data

Author (1):

Romeo Kienzler

View More author details

Table of Contents (15) Chapters

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

Structured Streaming

As you might already have understood from the previous chapters, Apache Spark is currently in transition from RDD-based data processing to a more structured one, backed by DataFrames and Datasets in order to let Catalyst and Tungsten kick in for performance optimizations. This means that the community currently uses a double-tracked approach. While the unstructured APIs are still supported--they haven't even been marked as deprecated yet ,and it is questionable if they ever will--a new set of structured APIs has been introduced for various components with Apache Spark V 2.0, and this is also true for Spark Streaming. Structured Steaming was marked stable in Apache Spark V 2.2. Note that, as of Apache Spark V 2.1 when we started writing this chapter, Structured Streaming is was marked as alpha. This is another example of the extreme pace at which Apache...

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Authors (1)

Romeo Kienzler

Romeo Kienzler

Romeo Kienzler works as the chief data scientist in the IBM Watson IoT worldwide team, helping clients to apply advanced machine learning at scale on their IoT sensor data. He holds a Master's degree in computer science from the Swiss Federal Institute of Technology, Zurich, with a specialization in information systems, bioinformatics, and applied statistics.

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