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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
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
7
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
8
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

Chapter 7. Optimizing the Performance of a Cascading Application

Optimizing performance by tuning a Cascading application is essential in order to ensure speedy and reliable execution. This chapter will provide in-depth information on how to efficiently optimize a Cascading application and configure the underlying framework (Hadoop) for maximum performance.

You will learn what to look for when determining performance characteristics. We will be:

  • Examining practices for improving the performance of a Cascading application
  • Discussing how to make performance changes to the underlying Hadoop system when Cascading is running on a specific platform
  • Showing how to effectively use checkpoints to help with processing time when failures occur
  • Overviewing several open source and commercial tools that can help us to diagnose performance of a Cascading application
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Tech Concepts
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Programming languages
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Learning Cascading
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