Upcoming PASS Summit 2016


PASS_2016_200x200[1] It’s that time of the year again when data professionals across the world converge at Seattle for one of the largest gatherings of data professionals around the world. This is one week of deep technical sessions delivered by community experts, MVPs and Microsoft engineers. With such a high concentration of data professionals around the world, you cannot discount the phenomenal networking opportunities at the event.

PASS Summit is the must-attend conference for all data professionals. There is a wealth of learning, connections, and immediate solutions gained in 3+ jam-packed and inspiring days. And possibly one of the largest congregation of data professional in the world with over 4000 attendees. Our Corporate Vice President, Joseph Sirosh, will talk about Cloud Intelligence Innovations during his keynote session on Day 1. David DeWitt, a very familiar face at PASS summit and in the community, will talk about Data Warehousing in the Cloud during his keynote session on Day 2.

The SQL Server Tiger Team (@mssqltiger) will be delivering sessions, will be at the clinic and is eager to hear from SQL Server customers. I published a blog post which is a summary of what the Tiger team will be upto at the PASS Summit.

Parikshit and I will be delivering a session on Always On enhancements and how it would help monitor, support and troubleshoot your environments better and even make your critical environment more reliable and available!

My session at PASS Summit

Session: SQL Server Enhancements that Keep Your Environment Always On
Speaker: Parikshit Savjani, Amit Banerjee
Session Code: DBA-313-M
Session Date: October 27th
Session Time: 1:30PM – 2:15PM PST
Level: 300
Duration: 75 minutes
Room: TCC Tahoma 5

What you can expect: SQL Server Always On Availability Groups provides a number of out-of-the-box enhancements in SQL Server 2012, 2014 and 2016 which helps analyze common issues with relative ease. Attend this session to find out more about how the new enhancements can be leveraged to improve reliability, reduce manual effort and increase uptime. This session will also do a deep dive using demos of the new visualizations available for common scenarios leveraging the new diagnostic and supportability improvements that were added. As a bonus, we will show you new visualizations and data analysis techniques for common issues that you face in your Always On environments.

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#AskSQLTiger Twitter Chat on June 27


Join the SQL Server Tiger team for a Twitter Chat on Monday, June 27th from 10 -11 AM PST. You can ask anything about Query Performance on SQL Server for our first Twitter chat. 

Log on at the time above, make sure to include #AskSQLTiger in every Tweet you make, and you’ll be part of our discussion. Or, follow this link to see the #AskSQLTiger feed. Tools like TweetdDeck, HootSuite can be helpful in following along in a Twitter Chat. Members of the @mssqltiger will be moderating the discussion.

More details can be found here.

Recent session at PASS HADR VC session


I recently delivered a session for High Availability and DBA Fundamentals on June 14th about the recent High Availability and Disaster Recovery enhancements that were delivered/to be delivered in recent Service Packs of SQL Server. The session recording is available on YouTube, the slide deck is available on Slide Share and the demo scripts along with the Power BI dashboards are available on GitHub

SQL Server 2012 Service Pack 3 and the upcoming SQL Server 2014 Service Pack 2 provide extended events which helps track down two of the most common issues that DBAs have to cope with during an outage situation related to Availability Groups: Latency and Lease Timeouts (which could result in failovers). These new extended events have been shipped based on customer feedback that we heard, acted up and shipped. If you have an Availability Group setup, then come learn about the new enhancements shipped with SQL Server 2012 Service Pack 3 and the upcoming SQL Server 2014 Service Pack 2 and above which allows you to troubleshoot failovers more easily and pin point the latency in your environment more efficiently.