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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

Introducing Apache Zeppelin


Apache Zeppelin is a web-based notebook that enables data-driven, interactive analytics with built-in visualizations. It supports multiple languages with an interpreter framework. Currently, it supports interpreters such as Spark, Markdown, Shell, Hive, Phoenix, Tajo, Flink, Ignite, Lens, HBase, Cassandra, Elasticsearch, Geode, PostgreSQL, and Hawq. It can be used for data ingestion, discovery, analytics, and visualizations using notebooks similar to IPython Notebooks. Zeppelin notebooks recognize output from any language and visualize these using the same tools.

The Zeppelin project started as an incubator project in the Apache software foundation in December 2014 and became a top-level project in May 2016. Zeppelin mainly has four components, as shown in the architecture in Figure 6.3:

Figure 6.3: The Zeppelin architecture

The components in the Zeppelin architecture are described as follows:

  • Frontend: This provides UI and shells to interact with humans and a display...

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