SQLBits 2018

Enhancing relational models with graph in SQL Server 2017

This session explores SQL Server 2017's Graph processing to better understand interconnectivity and behaviour in your 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.

Terry McCann's previous sessions

Docker & Kubernetes for the Data Scientist

Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.

Machine Learning in Azure Synapse

There is a lot of content available on Synapse for Data Engineering, but what about Machine Learning? In this session we will look at how to integrate a SparkML model in Synapse.

Rapid Requirements: Introducing the Machine Learning Canvas

In this session, we will introduce the Advancing Analytics Machine Learning Canvas and how it can be used to capture requirements for Machine Learning Projects.

Machine Learning in Azure Databricks

In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.

Deploy ML models faster with Data Science DevOps

In this session I will show you how to apply DevOps practices to speed up your development cycle and ensure that you have robust deployable models. We will focus on the Azure cloud platform in particular, however this is applicable to other platforms

Enhancing relational models with graph in SQL Server 2017

This session explores SQL Server 2017's Graph processing to better understand interconnectivity and behaviour in your data.