At Microsoft, we work with thousands of enterprises every day, and leverage exabytes of data to run our own businesses such as Windows, Bing, and XBox. In this talk, we’ll showcase key customer use cases that show how we have overcome common obstacles in big data adoption such as the high learning curve, cost of implementation, challenges in tuning infrastructure, and providing enterprise grade security. Come learn how you can leverage the rich analytic services in Azure to transform your data easily at any scale with the tools you already know.
This talk will introduce new capabilities to process data at any scale using familiar tools. You will also learn how to compose tools such as Spark and R or do scale-out querying on demand, at massive scale with no hardware to deploy, software to tune and configure, or infrastructure to manage.
This session is sponsored by Microsoft
Matt Winkler is a principal group program manager in the Data Group at Microsoft, where he leads a program management team building services and tools for developers to build intelligent apps using cognitive APIs, the Bot Framework, and the Cortana Intelligence Suite. Matt has worked at Microsoft for the last 10 years as an evangelist and a program manager working on the .NET Framework, Visual Studio, and Azure Web Sites. As part of the Microsoft big data team, Matt led a PM team building HDInsight, Microsoft’s managed Hadoop and Spark service and Azure data lake analytics. Matt holds a BS in mathematics and computer science from Denison University and an MBA from Washington University in St. Louis. In his free time, Matt enjoys skiing, hiking, and woodworking.
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