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  • Book Overview & Buying Learning Cascading
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Learning Cascading

Learning Cascading

By : Covert, Victoria Loewengart
5 (3)
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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
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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
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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
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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 how Cascading controls data flow

Now, we know what the Cascading record looks like. How do we process these records? How do we move and manipulate data? Cascading provides us with the concept of pipes. Pipes control how data is managed during the processing segment.

Using pipes

Pipes are things that do stuff. The Cascading API allows the developer to assemble pipe assemblies that split, merge, group, or join streams. As data moves through pipes, streams may be separated or combined for various purposes:

Using pipes

Figure 2.3 – Pipe definition

Some pipes, such as Merge, GroupBy, and the Join classes, perform single actions on entire Tuple streams. Others, such as Each and Every require an operation to be attached to them. It is the operation code that performs the desired task. We will look at operations briefly in this chapter, though Chapter 3, Understanding Custom Operations will explore them in detail.

Creating and chaining

Pipes are created through both declaration and instantiation...

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Learning Cascading
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