Developers/BI developers who struggle with modelling and working with highly connected data
Analysing highly connected data using SQL is hard! Relational databases were simply not designed to handle this, but graph databases were. Built from the ground up to understand interconnectivity, graph databases enable a flexible performant way to analyse relationships, and one has just landed in SQL Server 2017! SQL Server supports two new table types NODE and EDGE and a new function MATCH, which enables deeper exploration of the relationships in your data than ever before.
In this session, we seek to explore, what is a graph database, why you should be interested, what query patterns does they solve and how does SQL Server compare with competitors. We will explore each of these based on real data shredded from IMDB.
Why I Want to Present This Session:
Graph processing will change the way we working with SQL Server. I want developers to embrace a Polyglot design and I want to present this session to show them how!
Latest posts by Terry McCann (see all)
- Using Artificial Intelligence to write session submissions to GroupBy. - September 23, 2018
- Enhancing relational models with graph processing In SQL Server 2017. - July 17, 2017
- Why TSQL was the language of the year - April 19, 2017