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You're reading from Learning Apache Apex

Product typeBook

Published inNov 2017

Reading LevelIntermediate

Publisher

ISBN-139781788296403

Edition1st Edition

Languages

Java

Tools

Apache Apex

Concepts

Data Processing

Authors (5):

Thomas Weise

Ananth Gundabattula

Munagala V. Ramanath

David Yan

Kenneth Knowles

View More author details

Summary

In this chapter, we examined a powerful tool in Apex library—the SQL API (Calcite integration)—and how it enables us to build classical ETL applications using SQL to automatically create many operators and link them into the DAG. We also covered how to build the application to produce the application archive (.apa) file which can be deployed in a cluster.

We also saw how to run the integration test locally, on our development machine, to enable detection of bugs, configuration errors, and other defects early in the development process, without the need to install Hadoop, ZooKeeper, or Kafka. We then took a detailed look at the application log messages and saw how to interpret them.

We rounded out the chapter by summarizing the classes involved in the Calcite integration.

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Learning Apache Apex

Published in: Nov 2017Publisher: ISBN-13: 9781788296403

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.
Read more about Thomas Weise

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.
Read more about Ananth Gundabattula

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.
Read more about Munagala V. Ramanath

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
Read more about David Yan

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
Read more about Kenneth Knowles

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You're reading from Learning Apache Apex

Summary

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