If you think about it a lot of the main innovations that are happening right now whether it’s machine learning, or AI, or autonomous vehicles, they’re all driven by data. And when you take one of the best database engines on the planet, like SQL Server, and bring it to this community that’s doing really important, critical things, that really opens up the possibilities of what can happen. I’m Travis Wright, I’m one of the principle program managers on the SQL Server engineering team, and for the last two years, I’ve been focused on bringing SQL Server to Linux. A lot of academia and science happens on the Linux system, or even things like DevOps and container platforms today. And bringing SQL Server to Linux, is really sort of bringing the entire Microsoft development ecosystem to all of those areas. SQL Server 2017 is intelligent, trusted, and flexible. It gives you the choice of what operating system to run on. Even within the same team, you might have some developers that prefer to Windows machines, and some prefer to use Linux, and some prefer to use Macs. Now, you can choose to run on any of those environments. Everybody can use the platform that they want, and the tools that they want. We look at this as just really one step in our progression toward being able to enable scenarios around big data, whether it’s artificial intelligence, or research and academia, We want to open up the possibilities of where SQL Server can go from here.