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Learning Apache Apex

You're reading from   Learning Apache Apex Real-time streaming applications with Apex

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Length 290 pages
Edition 1st Edition
Languages
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Authors (5):
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 Gundabattula Gundabattula
Author Profile Icon Gundabattula
Gundabattula
Thomas Weise Thomas Weise
Author Profile Icon Thomas Weise
Thomas Weise
Munagala V. Ramanath Munagala V. Ramanath
Author Profile Icon Munagala V. Ramanath
Munagala V. Ramanath
David Yan David Yan
Author Profile Icon David Yan
David Yan
Kenneth Knowles Kenneth Knowles
Author Profile Icon Kenneth Knowles
Kenneth Knowles
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Table of Contents (17) Chapters Close

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Apex FREE CHAPTER 2. Getting Started with Application Development 3. The Apex Library 4. Scalability, Low Latency, and Performance 5. Fault Tolerance and Reliability 6. Example Project – Real-Time Aggregation and Visualization 7. Example Project – Real-Time Ride Service Data Processing 8. Example Project – ETL Using SQL 9. Introduction to Apache Beam 10. The Future of Stream Processing

Summary


In this chapter, we discussed the partitioning of operators and how it is the key platform feature that provides both static scalability and adaptive dynamic scalability to Apex applications with minimal required effort on the part of the application writer. We discussed related concepts such as shuffled partitioning, parallel partitioning, unifiers, and stream codecs, how these features can be configured either in code or in properties files and how the interplay of these features results in unparalleled flexibility and outstanding run-time performance. Finally, we concluded by discussing a sample application that illustrates some of these features.

In the next chapter, we will cover another key strength of Apex: fault tolerance and reliability with check-pointing and processing guarantees.

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