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Apache Spark for Data Science Cookbook

You're reading from  Apache Spark for Data Science Cookbook

Product type Book
Published in Dec 2016
Publisher
ISBN-13 9781785880100
Pages 392 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Padma Priya Chitturi Padma Priya Chitturi
Profile icon Padma Priya Chitturi
LinkedIn
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.
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Table of Contents (17) Chapters

Apache Spark for Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Big Data Analytics with Spark 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:

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Authors (1)

Profile icon Padma Priya Chitturi
LinkedIn
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.
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See other products by Padma Priya Chitturi

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