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News: Welcome new members from PASS Saturday Night SQL Virtual Group!

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Upcoming Events

Graph data processing with SQL Server 2017 and Azure SQL DB

Thu, Jun 08 2017 19:00 UTC

Graph data processing with SQL Server 2017 and Azure SQL DB

Microsoft has introduced Graph Database Processing to SQL Server 2017, which will facilitate users track many-to-many relationships between entities, to gather powerful insights from different pieces of connected data. This is well suited for applications where users need to extract information from different pieces of connected data, for example, IoT, fraud detection, recommendation engine, predictive analysis etc. In this session, we will learn the new features and demonstrate them by going over some use cases.

Shreya Verma

Shreya Verma is a Program Manager on the SQL Server team. She has over 10 years of experience in the database industry, working on both SQL and NoSQL products. As a Program Manager in the SQL Server team, Shreya focusses on query processor and graph extensions in SQL Server and Azure SQL DB. Prior to this, Shreya has worked on Amazon DynamoDB and ANTs Data Server products.

Arvind Shyamsundar

Arvind is a Principal Program Manager with the Microsoft AzureCAT team. A key deliverable, when working with customers adopting the Azure Data Services, including SQL server, is to acquire feedback, issues, and feature asks to help make products and services better. Experienced in SQL Server since the 6.5 release, Arvind has worked on some of the most demanding workloads over the years and is passionate about sharing his knowledge and learnings - as well as automating troubleshooting and diagnostics as much as possible. Much of his work is available on GitHub ( and his blog ( Arvind is also an #MCM4Life and has previously worked as a Principal PFE within Microsoft Services.

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