Ignite 2016 Session – Architecting Robust Big Data Solutions
I had the pleasure of speaking at Ignite again this year. One thing was clear from the event, Microsoft’s momentum in the data platform, big data, and cognitive intelligence spaces is continuing to grow. For years I’ve talked about how Microsoft’s super power is making the complex simple. In the early part of this century that is how SQL Server went from being considered a departmental level database to being the most often deployed enterprise database in the world. At first it was adopted because of its simplicity and eventually it gained the enterprise chops to take on any competitor. In Azure, the same can be true as we see Data Lake Analytics become more mature and the idea of using a job service instead of building Hadoop clusters becomes normalized.
In my session, Architecting Robust Big Data Solutions with Azure Data Lake I focused on putting the pieces together based on what’s worked well for customers that have deployed big data solutions in Azure. The response to this session has been great and I thank everyone that attended the session in person. Now you too can watch the on-demand version of my session along with all the sessions from Ignite 2016.