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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Table of Contents (12) Chapters Close

Preface 1. Big Data Analytics at a 10,000-Foot View 2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

The Livy REST job server and Hue Notebooks


Hadoop User Experience (Hue) introduced Spark-based notebooks, which are inspired by IPython Notebooks. The Spark Notebook works on the Livy REST job server backend to provide Spark as a service to end users.

Hue Notebooks are similar to IPython Notebooks or Zeppelin Notebooks, which are integrated well with Hadoop ecosystem components. Notebooks support Scala, Python, and R languages, and Hive and Impala queries. They can be shared with import/export and sharing features. Visualizations can be done with a variety of charts and graphs. Hue supports a multiuser environment with impersonation.

Livy is a Spark REST job server that can submit and interact with Spark jobs from anywhere. It is inspired by the popular IPython/Jupyter and Spark REST job server, but implemented to better integrate the Hadoop ecosystem with multiple users. With the Livy server, Spark can be offered as a service to users in the following two ways:

  • Instead of every user creating...

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