Real time is fundamental for the life of an organization and to the decision making process, therefore, building a real-time analytical model becomes a business need.

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.

At the end of the session, you will have learned how to ingest, store, prepare and serve the data with Apache Kafka for HDInsight, Azure Data Lake Store Gen 2, Azure Databricks, SQL Data Warehouse and Power BI.
Presented by José Mendes at SQLBits XVIII
Slide Deck 664 KB
MP4 Video Low 340 MB