Theo has previously worked as a Software Developer building business critical back-end ESB integrations and OLTP workloads for one of the largest insurers in the world. Shifting his focus and interests to analytics in 2016, Theo worked in the public sector as a Big Data Architect, and received his Masters in Data Science in 2017 from the University of Dundee, where he was awarded best research project for the academic year. Theo is passionate about NoSQL and distributed computing of all shapes and sizes, and quickly established himself as a Cosmos DB Product champion after joining Microsoft in 2017 as a Data Solution Architect. Theo now works in the Cosmos DB Engineering team as a Program Manager.


In this session, we will discuss the strategies and thought process one should adopt for modeling and partition data effectively in Azure Cosmos DB. We will also briefly cover related topics such implementing optimistic concurrency control, transactions with stored procedures, batch operations, and tuning queries + indexing