TechED 2014 Sessions
I love TechED. The energy from the keynotes and expo simply isn’t matched by any of the other conferences I attend on a regular or irregular basis. I also love the diversity of sessions and people I will meet throughout the entire conference. I will be going back this year for the fourth time in five years. I have two sessions at TechED that I’ll be presenting on. Like last year, I will be presenting one session on SQL Server Parallel Data Warehouse and another focusing on HDInsight. If you are curious about whether or not you want to attend, check out my session on SQL Server 2012 PDW from last years TechED. If you can’t attend one of my sessions below, please stop by the Microsoft section of the Expo and we can talk Big Data and SQL Server PDW there.
The final reason I love TechEd is the variety of session and discussion I can have. From Cloud OS, SQL Server, System Center, Virtualization, Windows Server, .NET, Visual Studio…I can hit them all in a week and really round out my understanding of the entire ecosystem. Anyway, below you can get an idea of what my two sessions will be on and I look forward to meeting you there.
DBI-B329 The Role of Polybase in the Modern Data Warehouse
Tuesday, May 13 5:00 PM – 6:15 PM
We have all heard about the Polybase feature of the Microsoft SQL Server 2012 Parallel Data Warehouse, but what are the use cases for this technology? In this session we explore and demonstrate specific use cases for implementing Polybase into your Modern Data Warehouse solution. Specifically, we examine how Polybase can help you: streamline your ETL process by using Hadoop as the staging area of the backroom; export to your Hadoop environment your Enterprise Data Warehouse conformed dimensions; use Hadoop as a low cost, online data archive; and enrich your relational data with ambient data resident in Hadoop.
DBI-B328 From Zero to Data Insights Using HDInsight on Windows Azure
Wednesday, May 14 3:15 PM – 4:30 PM
Windows Azure HDInsight enables you to embrace Hadoop with seamless management of any type or size of data. The Microsoft Big Data and BI platforms enable data enrichment through discovery and advanced analytics so all users can easily gain and act on insights from all of their data, structured or unstructured, via familiar tools such as Microsoft Excel and the Power Suite. We walk through an end-to-end story, showcasing an example that includes how to provision a Hadoop cluster on Windows Azure in minutes, load data to the persistent Azure blob store, cleanse data with Pig, add structure with Hive, orchestrate workflows with Oozie, and gain insights via Excel.