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  • Book Overview & Buying Learning Cascading
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Learning Cascading

Learning Cascading

By : Covert, Victoria Loewengart
5 (3)
Buy this Book
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Learning Cascading

Learning Cascading

5 (3)
By: Covert, Victoria Loewengart
Buy this Book

Overview of this book

This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.
Table of Contents (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. The Big Data Core Technology Stack
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1. The Big Data Core Technology Stack
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Reviewing Hadoop
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MapReduce execution framework
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The Cascading framework
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Summary
2
2. Cascading Basics in Detail
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2. Cascading Basics in Detail
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Understanding common Cascading themes
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Understanding how Cascading represents records
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Understanding how Cascading controls data flow
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Putting it all together
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Summary
3
3. Understanding Custom Operations
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3. Understanding Custom Operations
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Understanding operations
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Summary
4
4. Creating Custom Operations
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4. Creating Custom Operations
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Writing custom operations
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Identifying common use cases for custom operations
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Summary
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5. Code Reuse and Integration
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5. Code Reuse and Integration
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Creating and using subassemblies
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Using cascades
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Dynamically controlling flows
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Integrating external components
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Summary
6
6. Testing a Cascading Application
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6. Testing a Cascading Application
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Debugging a Cascading application
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Testing strategies
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Summary
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7. Optimizing the Performance of a Cascading Application
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7. Optimizing the Performance of a Cascading Application
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Optimizing performance
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Summary
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8. Creating a Real-world Application in Cascading
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8. Creating a Real-world Application in Cascading
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Project description – Business Intelligence case study on monitoring the competition
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Project scope – understanding requirements
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Defining the project – the Cascading development methodology
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Building the workflow
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Next steps
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Summary
9
9. Planning for Future Growth
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9. Planning for Future Growth
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Finding online resources
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Using other Cascading tools
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Custom taps
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Cascading serializers
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Java open source mock frameworks
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Summary
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A. Downloadable Software
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A. Downloadable Software
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Contents
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Installing and using
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Index
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Index

Understanding operations

Operations form the basis for most things that can be done to data as it passes through a pipe. They are connected to the appropriate type of a Pipe instance.

There are several classes of operations:

  • Filter: It discards unwanted records.
  • Function: It performs transformations.
  • Aggregator: It summarizes data across sets of records.
  • Buffer: It operates on a set of records.
  • Assertion: It imposes asserted conditions on the records that fail if they're not met. Assertions are specific to single tuples (that is, Each), pipes, and grouped tuples (that is, Every) pipes. As we shall see later, assertions are special and follow a slightly different set of rules than the other four preceding operations listed.

Using operations is easy. An operation is just a class. They are instantiated as objects using new, and then are attached to pipes by passing them as parameters when Pipe is created. Then, the pipe passes tuples to the attached operation where they are processed. The following...

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Programming languages
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Learning Cascading
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