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You're reading from  Apache Spark for Data Science Cookbook

Product typeBook
Published inDec 2016
Publisher
ISBN-139781785880100
Edition1st Edition
Tools
Apache SparkPandas
Concepts
Data Science
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Author (1)
Padma Priya Chitturi
Padma Priya Chitturi
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Padma Priya 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.
Read more about Padma Priya Chitturi

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Creating plots with the lightning visualization server

Lightning is a framework for interactive data visualization, including a server, visualizations, and client libraries. The lightning server provides API-based access to reproducible, web-based visualizations. It includes a core set of visualization types, but is built for extendibility and customization. It can be deployed in many ways, including Heroku, Docker, a public server, a local app for OS X and even a serverless version well suited to notebooks such as Jupyter.

Lightning can expose a single visualization to all the languages of data science. Client libraries are available in multiple languages, including Python, Scala, JavaScript, and rstats, with many more in future.

Getting ready

To step through this recipe, you will need a running Spark Cluster in any one of the modes, that is, local, standalone, YARN, or Mesos. Install Hadoop (optionally), Scala, and Java. Lightning is designed to support a variety of use cases. The first option...

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Apache Spark for Data Science Cookbook
Published in: Dec 2016Publisher: ISBN-13: 9781785880100
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Padma Priya 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.
Read more about Padma Priya Chitturi

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