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Learning Apache Apex

You're reading from Learning Apache Apex

Product type Book

Published in Nov 2017

Publisher

ISBN-13 9781788296403

Pages 290 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (5):

Thomas Weise

Ananth Gundabattula

Munagala V. Ramanath

David Yan

Kenneth Knowles

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Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

Introduction to Apex

Getting Started with Application Development

The Apex Library

Scalability, Low Latency, and Performance

Fault Tolerance and Reliability

Example Project – Real-Time Aggregation and Visualization

Example Project – Real-Time Ride Service Data Processing

Example Project – ETL Using SQL

Introduction to Apache Beam

The Future of Stream Processing

Running the application

This section assumes that you have already set up the development environment as explained in the Chapter 2, Getting Started with Application Development. All components of the Twitter example can run on the host OS. There is no need for a Hadoop cluster, although it would also be possible to run the Apex application in the Docker container. We will instead run it as a JUnit test, as it is easier to modify and experiment with.

Check out the code using the following command:

git clone https://github.com/tweise/apex-samples.git

Then, import the Twitter project into your IDE and run JUnit test:

TwitterStatsAppTest.testApplication

Alternatively, you can run it from the command line:

cd twitter; mvn test -Dtest=TwitterStatsAppTest

By default the test runs the application with a file source of sample tweets (instead of connecting to the Twitter API) and writes results to the console (instead of WebSocket).

To configure the application for live input and visualization of results...

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Authors (5)

Thomas Weise

Thomas Weise is the Apache Apex PMC Chair and cofounder at Atrato. Earlier, he worked at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a cofounder of the Apex project. Thomas is also a committer to Apache Beam and has contributed to several more of the ecosystem projects. He has been working on distributed systems for 20 years and has been a speaker at international big data conferences. Thomas received the degree of Diplom-Informatiker (MSc in computer science) from TU Dresden, Germany. He can be reached on Twitter at: @thweise.

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Ananth Gundabattula

Ananth is a senior application architect in the Decisioning and Advanced Analytics architecture team for Commonwealth Bank of Australia. Ananth holds a Ph.D degree in the domain of computer science security and is interested in all things data including low latency distributed processing systems, machine learning and data engineering domains. He holds 3 patents granted by USPTO and has one application pending. Prior to joining to CBA, he was an architect at Threatmetrix and the member of the core team that scaled Threatmetrix architecture to 100 million transactions per day that runs at very low latencies using Cassandra, Zookeeper and Kafka. He also migrated Threatmetrix data warehouse into the next generation architecture based on Hadoop and Impala. Prior to Threatmetrix, he worked for the IBM software labs and IBM CIO labs enabling some of the first IBM CIO projects onboarding HBase, Hadoop and Mahout stack. Ananth is a committer for Apache Apex and is currently working for the next generation architectures for CBA fraud platform and Advanced Analytics Omnia platform at CBA.

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Munagala V. Ramanath

Dr. Munagala V. Ramanath got his PhD in Computer Science from the University of Wisconsin, USA and an MSc in Mathematics from Carleton University, Ottawa, Canada. After that, he taught Computer Science courses as Assistant/Associate Professor at the University of Western Ontario in Canada for a few years, before transitioning to the corporate sphere. Since then, he has worked as a senior software engineer at a number of technology companies in California including SeeBeyond, EMC, Sun Microsystems, DataTorrent, and Cloudera. He has published papers in peer reviewed journals in several areas including code optimization, graph theory, and image processing.

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David Yan

David Yan is based in the Silicon Valley, California. He is a senior software engineer at Google. Prior to Google, he worked at DataTorrent, Yahoo!, and the Jet Propulsion Laboratory. David holds a master of science in Computer Science from Stanford University and a bachelor of science in Electrical Engineering and Computer Science from the University of California at Berkeley

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Kenneth Knowles

Kenneth Knowles is a founding PMC member of Apache Beam. Kenn has been working on Google Cloud Dataflow—Google's Beam backend—since 2014. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD in

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