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  • Book Overview & Buying Learning Cascading
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Learning Cascading

Learning Cascading

By : Covert, Victoria Loewengart
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Learning Cascading

Learning Cascading

5 (3)
By: Covert, Victoria Loewengart

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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7
7. Optimizing the Performance of a Cascading Application
11
Index

Using cascades

You have seen so far that in Cascading, we can create building blocks of different sizes, functionality, and granularity, and we can reuse and rearrange these blocks to build very agile, customized applications.

You have seen operations, subassemblies, and flows—each of them are a building block of sorts that we define in large grains to create our application. We can go further now and arrange flows into cascades. You may recall we defined cascades in Chapter 2, Cascading Basics in Detail, and have been intermittently referring to them throughout this book.

Let's revisit the definition of a cascade. A cascade is a collection of flows. Separate and individual flows can be placed together in a defined sequence and execution graph, and they are executed as a single process that is referred to as cascade. A cascade has an additional feature, that if one flow depends on the output of another (that is, the source of one pipe is the sink of another), the dependent flow...

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Learning Cascading
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