Using existing language skillsets to create large-scale, cloud-based analytics : Build 2018
243 views · Published 10 May 2018 · 1:23:42 · Indexed 21 October 2026
Channel: Microsoft Developer · 2018 · People & Blogs
Data Scientists and Data Wranglers often have existing code that they would like to use at scale over large data sets. In this presentation we show how to meet your customers where they are, allowing them to take their existing Python, R, Java, code and libraries and existing formats --for example Parquet -- and apply them at scale to schematize unstructured data and process large amounts of data in Azure Data Lake with U-SQL. We will show how large customers meet the challenges of processing multiple cubes with data subsets to secure data for specific audiences using U-SQL partitioned output, making it easy to dynamically partition data for processing from Azure Data Lake. Create a Free Account (Azure): https://aka.ms/c9-azurefree
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