Azure Data Platform
Derby, England, United Kingdom
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions? Are we designing for just speed and batch layers or do we what more from our platforms, and who says these patterns must be delivered exclusively? Let’s disrupt the theory and consider the practical application of all things. Can we now utilise Azure technology to build architectures that cater for lambda, kappa and delta concepts in a complete stack of services? And should we be considering a solution that offers all these principals in a nirvana of data insight perfection? In this session we’ll explore the answer to all these questions and more in a thought provoking, argument generating look at the challenges every data platform architect faces.
Avanade Centre of Excellence (CoE) Technical Architect specialising in data platform solutions built on Microsoft Azure.
Data engineering competencies include Azure Synapse Analytics, 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.
15+ years’ experience working within healthcare, retail, manufacturing, and gaming verticals delivering analytics through the definition of industry leading design patterns and technical architectures.
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!