Data Platform Summit 2017

PrintI will be speaking at the Data Platform Summit happening at Bangalore from Aug 17-19, 2017. I will be delivering sessions on achieving a million predictions/sec using SQL Server and introduce our latest entrants into the Azure Database family: MySQL and PostgreSQL.

Session: CLOUD/IoT/NoSQL_C13Running Applications On Azure Using Postgres/MySQL
: 17th Aug, 2017
Time: 11:30am – 12 noon
Session Type: Chalk Talk
Room: Kilimanjaro
Abstract: A chalk talk on Azure’s managed database offering for PostgreSQL and MySQL and how we make it easy to run your existing apps using PostgreSQL and MySQL on Azure.

Session: BIA_B02 – Advanced – Building 1 Million Predictions Per Second Using SQL-R
Date: 17th Aug, 2016
Time: 1:45PM – 3PM
Session Type: Breakout Session
Room: Hydra
Abstract: Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries that really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we will walk through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Attend this session to find out how SQL + R allows you to build an “intelligent datawarehouse”.

In this session, I will show you the actual demo where we hit 1 million transactions/sec.

Session: CLOUD/IoT/NoSQL_B40 – Basic – Azure Database for MySQL and PostgreSQL
Date: 18th Aug, 2016
Time: 11:45AM – 1PM
Session Type: Breakout Session
Room: Sphinx
Abstract: Azure Database for MySQL and Azure Database for PostgreSQL are managed database services built for developers using the community edition of MySQL PostgreSQL. Learn how you can leverage these new choices of managed database services to build scalable, secure and intelligent apps. Using insights from current customer scenarios and through live demos, we walk through the service management capabilities, best practices to move your databases to the service, and also focus on how the Microsoft Azure ecosystem of app and data services is unlocking the potential of MySQL and PostgreSQL in the Azure cloud platform.

There is a surprise element in this session as well! And if I let the cat out of the bag now, it wouldn’t remain a surprise would it? Come to the session to find out what it is.

We also have other members from the SQL Server Tiger, SQL CAT, Data Migration and our field teams delivering sessions about various different data related topics. My colleague, Ajay Jagannathan, published a post on the upcoming Tiger sessions at the conference. There is a great list of accomplished speakers that will be delivering sessions at the conference. Apart from a great lineup, it always feels great to connect with customers and the community in general to learn about how they are using the products that we are building and gather feedback from the horse’s mouth!

Follow  SQLServerGeeks and the #DPS2017 hashtag on Twitter for new and exciting updates about the conference. We hope to meet you at the conference.


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.

#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.