Abstract
If what you developed is good and not a one-off, you’ll want to put it into production and have it run on a schedule. Valuable results should be delivered on a regular basis, possibly to another piece of software that’ll execute on the findings. This topic is huge, and we’ll only scratch the surface here by focusing on technical parts in Databricks.
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© 2020 Robert Ilijason
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Ilijason, R. (2020). Running in Production. In: Beginning Apache Spark Using Azure Databricks. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5781-4_10
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DOI: https://doi.org/10.1007/978-1-4842-5781-4_10
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5780-7
Online ISBN: 978-1-4842-5781-4
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