Abstract
In the previous chapter, I showed you how to create and deploy custom streams using multiple binders in Spring Cloud Data Flow. This chapter continues with more features by creating stream DSL apps, running and/or triggering tasks and batch processes, and more. In previous chapters, you saw how companies need to run overnight processes—finite jobs that process data and modify it by enhancing its contents or doing a transformation, and applying some filtering.
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© 2021 Felipe Gutierrez
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Gutierrez, F. (2021). Task and Batch Apps with Spring Cloud Data Flow. In: Spring Cloud Data Flow. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1239-4_11
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DOI: https://doi.org/10.1007/978-1-4842-1239-4_11
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1240-0
Online ISBN: 978-1-4842-1239-4
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