I am delighted to announce that I have been selected to speak at the largest Microsoft Data Platform conference in the world, PASS Summit 2019, in Seattle WA, USA.
As our database community has extended beyond SQL Server into Azure and other platforms, there’s a lot to take in over the course of three days at this conference, and thousands of attendees must research hundreds of sessions to figure out how to best use their time.
That’s why, this year, they’re shaking things up a little at PASS HQ with the new Learning Pathways. If there’s a particular technology or feature of the Microsoft Data Platform that attendees want to learn more about, they can go to a group of sessions in that particular pathway. In my case, it’s all about Linux.
Learning Pathways are a great idea in my opinion, and I’m honoured to be sharing this one with two of my friends, Hamish Watson (blog | Twitter) and Kellyn Pot’Vin-Gorman (blog | Twitter). Hamish is a Data Platform MVP, a DevOps Alchemist (by his own admission), and recipient of the PASS Outstanding Volunteer award. Kellyn recently joined Microsoft as a Data Platform Architect in BI and AI, after being part of the Oracle ACE program for many years. They are certainly impressive folks to be associated with.
My session is titled “Managing and Monitoring SQL Server on Linux from the Command Line.” If you’ve been to a session by that name at a SQL Saturday in Victoria or Edmonton this year, this builds upon that experience, as I’ve ramped it up considerably for the big show. 75 minutes is a lot of content, and following Hamish and Kellyn in the Linux Learning Pathway is daunting, to say the least.
If you haven’t decided between Ignite or PASS Summit in November, my obvious recommendation is to go to Summit. Register before the end of May and you’ll qualify for the Early Bird Rate.
I’ve been fortunate to speak at SQLBits for two years running, so being able to top off 2019 with this session is a major achievement. Thank you to everyone who encouraged me to do this community thing. The SQL Family is extremely important to me personally, and professionally.
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