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You're reading from  Scala Data Analysis Cookbook

Product typeBook
Published inOct 2015
Reading LevelIntermediate
Publisher
ISBN-139781784396749
Edition1st Edition
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Author (1)
Arun Manivannan
Arun Manivannan
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Arun Manivannan

Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Read more about Arun Manivannan

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Visualizing using Zeppelin


Apache Zeppelin is a nifty web-based tool that helps us visualize and explore large datasets. From a technical standpoint, Apache Zeppelin is a web application on steroids. We aim to use this application to render some neat, interactive, and shareable graphs and charts.

The interesting part of Zeppelin is that it has a bunch of built-in interpreters—ones that can interpret and invoke all API functions in Spark (with a SparkContext) and Spark SQL (with a SQLContext). The other interpreters that are built in are for Hive, Flink, Markdown, and Scala. It also has the ability to run remote interpreters (outside of Zeppelin's own JVM) via Thrift. To look at the list of built-in interpreters, you can go through conf/interpreter.json in the zeppelin installation directory. Alternatively, you can view and customize the interpreters from http://localhost:8080/#/interpreter once you start the zeppelin daemon.

How to do it...

In this recipe, we'll be using the built-in SparkContext...

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Scala Data Analysis Cookbook
Published in: Oct 2015Publisher: ISBN-13: 9781784396749

Author (1)

author image
Arun Manivannan

Arun Manivannan has been an engineer in various multinational companies, tier-1 financial institutions, and start-ups, primarily focusing on developing distributed applications that manage and mine data. His languages of choice are Scala and Java, but he also meddles around with various others for kicks. He blogs at http://rerun.me. Arun holds a master's degree in software engineering from the National University of Singapore. He also holds degrees in commerce, computer applications, and HR management. His interests and education could probably be a good dataset for clustering.
Read more about Arun Manivannan