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U-SQL for Big Data - A Definitive Guide
Making Big Data processing easy requires great developer support that hides the complexity of managing the scale, allows to easily integrate custom code to handle the complex processing requirements ranging from data cleanup to advanced processing of unstructured data, and provides great tool support for the developer to help in the iterative development process. Join us to learn more about U-SQL for Big Data.
Thus when we at Microsoft introduced the Azure Data Lake, we decided to also include a new language called U-SQL to make Big Data processing easy. It unifies the declarative power of SQL and the extensibility of C# to make writing custom processing of Big Data easy. It also unifies processing over all data – structured, semi-structured and unstructured data – and queries over both local data and remote SQL data sources. This presentation will delve deep on U-SQL, why we decided to build a new language, what its core design underpinnings are as well as show the language in its natural habitat – the development tooling – showing the language capabilities as well as the tool support from starting your first script to analyzing its performance. Speaker for this session is Michael Rys, Principle Program Manager, Microsoft
Kdy: Tue, 16 Feb 2016 18:00:00 GMT
Tue, 16 Feb 2016 18:00:00 GMT (UTC)
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