I co-wrote a blog on how we operationalize data science models on the Pivotal stack by leveraging in-database scalable methods for model training and stream processing functions in Apache Geode for model scoring. This was joint work with my colleagues Regunathan Radhakrishnan, Jin Yu, Kaushik Das ). The blog was published in the Pivotal Engineering Journal, you can read it below.
Operationalizing Data science Models on Pivotal Stack
Posted Aug 11, 2016 2016-08-11T00:00:00-07:00 by Srivatsan Ramanujam
Updated May 17, 2020 2020-05-17T16:01:47-07:00
This post is licensed under CC BY 4.0 by the author.
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Building machine learning models at scale for data parallel problems on Pivotal's MPP databases
Data Science Driven Software Product Innovation
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