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Apache Spark 2: Data Processing and Real-Time Analytics

You're reading from   Apache Spark 2: Data Processing and Real-Time Analytics Master complex big data processing, stream analytics, and machine learning with Apache Spark

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789959208
Length 616 pages
Edition 1st Edition
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Authors (7):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
Romeo Kienzler Romeo Kienzler
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Romeo Kienzler
Siamak Amirghodsi Siamak Amirghodsi
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Siamak Amirghodsi
Broderick Hall Broderick Hall
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Broderick Hall
Md. Rezaul Karim Md. Rezaul Karim
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Md. Rezaul Karim
Meenakshi Rajendran Meenakshi Rajendran
Author Profile Icon Meenakshi Rajendran
Meenakshi Rajendran
Shuen Mei Shuen Mei
Author Profile Icon Shuen Mei
Shuen Mei
+3 more Show less
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Table of Contents (23) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. A First Taste and What's New in Apache Spark V2 2. Apache Spark Streaming FREE CHAPTER 3. Structured Streaming 4. Apache Spark MLlib 5. Apache SparkML 6. Apache SystemML 7. Apache Spark GraphX 8. Spark Tuning 9. Testing and Debugging Spark 10. Practical Machine Learning with Spark Using Scala 11. Spark's Three Data Musketeers for Machine Learning - Perfect Together 12. Common Recipes for Implementing a Robust Machine Learning System 13. Recommendation Engine that Scales with Spark 14. Unsupervised Clustering with Apache Spark 2.0 15. Implementing Text Analytics with Spark 2.0 ML Library 16. Spark Streaming and Machine Learning Library 1. Other Books You May Enjoy Index

Using the Scala Breeze library to do graphics in Spark 2.0


In this recipe, we will use the functions scatter() and plot() from the Scala Breeze linear algebra library (part of) to draw a scatter plot from a two-dimensional data. Once the results are computed on the Spark cluster, either the actionable data can be used in the driver for drawing or a JPEG or GIF can be generated in the backend and pushed forward for efficiency and speed (popular with GPU-based analytical databases such as MapD)

How to do it...

  1. First, we need to download the necessary ScalaNLP library. Download the JAR from the Maven repository available at https://repo1.maven.org/maven2/org/scalanlp/breeze-viz_2.11/0.12/breeze-viz_2.11-0.12.jar.
  1. Place the JAR in the C:\spark-2.0.0-bin-hadoop2.7\examples\jars directory on a Windows machine:
  2. In macOS, please put the JAR in its correct path. For our setting examples, the path is /Users/USERNAME/spark/spark-2.0.0-bin-hadoop2.7/examples/jars/.
  3. The following is the sample screenshot...
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