Azure Data Platform
Derby, England, United Kingdom
The Microsoft abstraction machine is at it again with this latest veneer over what we had come to understand as the 'modern data warehouse'. Or is it?! When creating an Azure PaaS data platform/analytics solution we would typically use a set of core Azure services; Data Factory, Data Lake, Databricks and SQL Data Warehouse. Now with the latest round of enhancements from the MPP team it seems in the third generation of the Azure SQLDW offering we can access all our core services as a bundle. Ok, so what? Well, this is a reasonable starting point to in our understanding of Azure Synapse, but is also far from the whole story. In this session we'll go deeper into the evolution of our SQLDW to complete our knowledge on why Synapse Analytics is a game changer for various data warehouse architectures. We'll discover what Synapse has to offer with its Data Virtualization layer, flexible storage and multi model compute engines. A simple veneer of things, this new resource is not. In this introduction to Synapse we'll cover the what, that why and importantly the how for this emerging bundle of exciting services.
Principal consultant and architect specialising in big data solutions on the Microsoft Azure cloud platform.
Data engineering competencies include Azure Data Factory, Data Lake, Databricks, Stream Analytics, Event Hub, IoT Hub, Functions, Automation, Logic Apps and of course the complete SQL Server business intelligence stack.
Many years’ experience working within healthcare, retail and gaming verticals delivering analytics using industry leading methods and technical design patterns.
STEM ambassador and very active member of the data platform community delivering training and technical sessions at conferences both nationally and internationally.
Father, husband, swimmer, cyclist, runner, blood donor, geek, Lego and Star Wars fan!