Microsoft to Join the Big Data Conversation as an Elite Sponsor at Strata, Santa Clara, CA
On February 11-13, Microsoft will join 2,700 of the world’s leading big data scientists, CIOs and executives at the Strata conference in Santa Clara, CA. For some, Microsoft does not come immediately to mind when thinking about leadership in data; however, along with the power of HDInsight, Microsoft is working to democratize big data – connecting companies to previously untouched data sources and enabling everyone to gain insight through familiar and powerful tools in Microsoft Office Excel.
Quentin Clark, Corporate Vice President of the Data Platform Group will share some of that vision in his keynote address followed by an interview with O’Reilly’s Mac Slocum – streamed live from the Strata conference website. Additionally, Herain Oberoi, Director Product Marketing, Microsoft will deliver a joint session with Bryan Hurd, Director of Advanced Analytics, Microsoft Cybercrime Center, highlighting how they use Microsoft’s portfolio of Big Data solutions, including simple, familiar end user tools and cutting-edge cloud technologies, to fight organized crime and BotNets that commit hundreds of millions of dollars of identity fraud ever year (view the Cybercrime Center video on YouTube). Visit the Strata Website for full Event Agenda.
Microsoft is also hosting a hack-a-thon on February 8-9. Not limited to technology, this big data hack-a-thon is aimed at spending 1½ days hacking for a good cause. Extra credit will go to those who develop using HDInsight and Power BI, but you are free to use whichever technology you like. Sign up here.
Join the conversation – attend one of our sessions in person, visit our exhibit booth (#401) and interact with our data experts or follow us on Facebook.com/sqlserver and Twitter @SQLServer. You will how Microsoft’s complete data platform delivers Big Data: enabling you to enrich your data with external data sources; connect any type of data – structured or unstructured; and extend the accessibility of data analysis beyond scientists into the hands of every employee.
