Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced machine learning models. The question then becomes, how do I deploy these model to a production environment? How do I embed what I have learned into customer facing data applications? In this webinar, we will discuss best practices from Databricks on how our customers productionize machine learning models, do a deep dive with actual customer case studies, and show live tutorials of a few example architectures and code in Python, Scala, Java and SQL.
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