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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

Chapter 6. Notebooks and Dataflows with Spark and Hadoop

There are many tools available for interactive analytics and to provide visualizations on Spark and Hadoop platforms. Some of the more important tools are the IPython Notebook (Jupyter), Spark Notebook, Ispark, Hue, Spark Kernel, Jove Notebook, Beaker Notebook, and Databricks Cloud. All of these notebooks are open source, except Databricks Cloud. This chapter is aimed at introducing and using some of the important interactive analytics tools using notebooks and a dataflow engine called NiFi. This chapter is divided into the following subtopics:

  • Introducing web-based notebooks
  • Introducing Jupyter
  • Introducing Apache Zeppelin
  • Using the Livy REST job server and Hue Notebooks
  • Introducing Apache NiFi for dataflows
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