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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Kite Data


The Kite SDK (http://www.kitesdk.org) is a collection of classes, command-line tools, and examples that aims at easing the process of building applications on top of Hadoop.

In this section we will look at how Kite Data, a subproject of Kite, can ease integration with several components of a Hadoop data warehouse. Kite examples can be found at https://github.com/kite-sdk/kite-examples.

On Cloudera's QuickStart VM, Kite JARs can be found at /opt/cloudera/parcels/CDH/lib/kite/.

Kite Data is organized in a number of subprojects, some of which we'll describe in the following sections.

Data Core

As the name suggests, the core is the building block for all capabilities provided in the Data module. Its principal abstractions are datasets and repositories.

The org.kitesdk.data.Dataset interface is used to represent an immutable set of data:

@Immutable
public interface Dataset<E> extends RefinableView<E> {
  String getName();
  DatasetDescriptor getDescriptor();
  Dataset<E>...
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