Big data processing increasingly needs to address not just querying big data but
needs to apply domain specific algorithms to large amounts of data at scale.
This ranges from developing and applying machine learning models to custom,
domain specific processing of images, texts, geospatial data etc. Often the
domain experts and programmers have a favorite language that they use to
implement their algorithms such as Python, R, C#, etc. Microsoft Azure Data
Lake Analytics service is making it easy for customers to bring their domain
expertise and their favorite languages to address their big data processing
needs. In this session, I will showcase how you can bring your Python, R, and
.NET code and apply it at scale using U-SQL.
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Presented by Michael Rys at SQLBits XVII