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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

Graph data processing with SQL Server 2017 and Azure SQL DB

As soon I saw that SQL Server 2017 supports graph database concepts (queries and modeling) I started to play with it and wanted to know more. And so I took the chance to ask to the program managers working on that feature to come and speak at the PASS Application Development Virtual Group, and they kindly accepted Smile.

So, if you’re also interested in the topic (and you should!), point your browser here and register, meeting is set for 8th June, online:

Graph data processing with SQL Server 2017 and Azure SQL DB

Shreya Verma & Arvind Shyamsundar

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.

Published Wednesday, May 31, 2017 11:48 PM by Davide Mauri

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syed said:

can we have access to the video?

June 13, 2017 6:30 AM

Davide said:

Hi Syed

yes, it's on youtube:


June 13, 2017 6:17 PM

abx said:


May 31, 2018 11:09 PM

linying123 said:



July 16, 2018 8:34 PM

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July 23, 2018 11:27 PM

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July 23, 2018 11:34 PM

chenjinyan said:


August 22, 2018 11:23 PM

chenlixiang said:



September 18, 2018 9:48 PM

chenqiuying said:

November 4, 2018 10:39 PM

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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