22-25 April 2026 
SQLBits 2019
Learn how to build a real-time analytics solution
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.
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.
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.
Speakers
José Mendes's previous sessions
Deep Dive into the Common Data Model
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.
Learn how to build a real-time analytics solution
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.
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