Abstract
A few times in this book, we have introduced chapters by reflecting on how much technology has changed over the past few years and how that has shaped our understanding of concepts like security, information channels, mobility, and social exchange. But possibly one of the most groundbreaking advances in recent years is related to how we understand, analyze, and process large subsets of information. The advances in processing power have set the perfect stage for giant amounts of information to be generated. Regrettably, in the early days, this information generally was not compatible or accessible; and when it was, the computational needs required to work with it were out of reach for most individuals and entities.
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Notes
- 1.
“Installing Gradle”: http://gradle.org/docs/current/userguide/installation.html .
- 2.
“The Gradle Wrapper”: http://gradle.org/docs/current/userguide/gradle_wrapper.html .
- 3.
The Gradle wrapper is in the repository of the example used in this chapter at https://github.com/GoogleCloudPlatformBook/code-snippets/tree/master/cloud-dataflow .
- 4.
Windows in Cloud Dataflow: https://cloud.google.com/dataflow/model/windowing .
- 5.
Triggers in Cloud Dataflow: https://cloud.google.com/dataflow/model/triggers .
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© 2015 S. P. T. Krishnan and Jose L. Ugia Gonzalez
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Krishnan, S.P.T., Gonzalez, J.L.U. (2015). Google Cloud Dataflow. In: Building Your Next Big Thing with Google Cloud Platform. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1004-8_11
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DOI: https://doi.org/10.1007/978-1-4842-1004-8_11
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1005-5
Online ISBN: 978-1-4842-1004-8
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