The PASS Application Development VG serves as a hub of free training and information for application developers working with the Microsoft Data Platform, sharing knowledge and techniques, helping fellow community members avoid trials and tribulations.

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Graph data processing with SQL Server 2017 and Azure SQL DB

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 Shyamsundar is a Principal Program Manager on the SQL Customer Advisory Team (SQLCAT.) He works with customers who are adopting SQL Server and Azure SQL Database in the most demanding workloads, and translates those engagements back to product feedback so that the SQL Server engineering team can make SQL Server and Azure SQL DB even better. He is also a Microsoft Certified Master (MCM) for SQL Server and has previously served as a Principal PFE with Microsoft Services.

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