A key element of the Microsoft Cloud OS vision is how it helps companies take advantage of big data to unlock insights. Our strategy is to provide a consistent platform that enables customers to gain insight into their data using existing skill sets; to find, combine, and visualize internal and external data with powerful, familiar business intelligence (BI) tools; and to quickly store, manage, and process data across the cloud and on-premises.

In the recorded demo below, I discuss what this means in more detail by walking through an end-to-end demonstration of how customers can use the Microsoft data platform to:

  • Capture social media data with SQL Server StreamInsight and then process with Azure HDInsight Service.
  • Load and query extremely large volumes of data by using our Analytics Platform System (APS), also known as Parallel Data Warehouse (PDW).
  • Mash-up and model internal and external data using PowerPivot for Excel 2013.
  • Publish to Power BI for Office 365 to enable end users to ask their own questions with a Q&A session.
  • Enable on-premises data refresh using Power BI and Data Management Gateway.

 

Vu Le is a Technology Architect at the Microsoft Technology Center in Singapore. He helps customers realize the value of their data and understand how to run business-critical applications. Outside of work, you can find Vu roaming the streets of Asia with his family and friends, exploring its food and culture.