José Mendes

Having a real-time analytical solution to deal with the increase of data volumes and the ever-growing demand to have quicker access to the data is a real need. In this session, we will learn which services are required to build a real-time analytical model and how to achieve our goal by going through different patterns and examples from real world applications. At the end of the session, you will have learned to identify the best pattern for your scenario and understand how to use services like Event Hubs, Azure Stream Analytics, Kusto Query Language or Azure Synapse Analytics.

Deep dive into the Common Data Model world and learn how to deploy, extend and use it along with other Microsoft technologies like Power Apps, Power BI Dataflows and Azure Databricks.

In this session we will learn which processes are required to build a real-time analytical model along with batch-based workloads, which are the foundation of a Lambda architecture.