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Apache Spark for Data Science Cookbook

You're reading from Apache Spark for Data Science Cookbook Solve real-world analytical problems

Product type Paperback

Published in Dec 2016

Publisher

ISBN-13 9781785880100

Length 392 pages

Edition 1st Edition

Tools

Apache Spark

Concepts

Data Science

Authors (2):

Padma Priya Chitturi

Nagamallikarjuna Inelu

View More author details

Table of Contents (11) Chapters

Preface

1. Big Data Analytics with Spark FREE CHAPTER

2. Tricky Statistics with Spark

3. Data Analysis with Spark

4. Clustering, Classification, and Regression

5. Working with Spark MLlib

6. NLP with Spark

7. Working with Sparkling Water - H2O

8. Data Visualization with Spark

9. Deep Learning on Spark

10. Working with SparkR

Customizing Zeppelin's server and websocket port

Zeppelin runs on port 8080 by default, and it has a websocket port enabled at the +1 port 8081 by default. We can customize the port by copying conf/zeppelin-site.xml.template to conf/zeppelin-site.xml and changing the ports and various other properties, if necessary. Since the Spark standalone cluster master web UI also runs on 8080, when we are running Zeppelin on the same machine as the Spark master, we have to change the ports to avoid conflicts:

For now, let's change the port to 8180 by editing the configuration file shown in the following image. In order for this to take effect, let's restart Zeppelin using bin/zeppelin-daemon restart. Now Zeppelin can be viewed on the web browser by visiting the site http://localhost:8180 and the web browser looks like the following screenshot:

The rest of the chapter is locked

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Authors (2)

Nagamallikarjuna Inelu

Nagamallikarjuna Inelu

See other products by Nagamallikarjuna Inelu

Chitturi

Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.

See other products by Chitturi

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