{"id":27658,"date":"2026-01-13T16:54:14","date_gmt":"2026-01-13T15:54:14","guid":{"rendered":"https:\/\/www.businesstraining.be\/training\/data-engineering-on-microsoft-azure\/"},"modified":"2026-01-13T16:54:15","modified_gmt":"2026-01-13T15:54:15","slug":"data-engineering-on-microsoft-azure","status":"publish","type":"training","link":"https:\/\/www.businesstraining.be\/nl\/training\/data-engineering-on-microsoft-azure\/","title":{"rendered":"Data Engineering on Microsoft Azure"},"content":{"rendered":"<p>In this training the modern data warehouse approach to handling both cloud based as well as on-prem data is explained in detail. First students see how to setup an Azure Data Lake and inject data with Azure Data Factory. Then students learn how to cleanse the data and prepare it for analysis with Azure Synapse Analytics. The Lambda architecture (with focus on both batch data as well as a speed layer where live events are processed) is discussed as well, where the speed layer gets implemented with Azure Data Explorer. In the end, participants have hands-on experience with the most common Azure services to load, store and process data in the cloud.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this training the modern data warehouse approach to handling both cloud based as well as on-prem data is explained in detail. First students see how to setup an Azure Data Lake and inject data with Azure Data Factory. Then students learn how to cleanse the data and prepare it for analysis with Azure Synapse Analytics. The Lambda architecture (with focus on both batch data as well as a speed layer where live events are processed) is discussed as well, where the speed layer gets implemented with Azure Data Explorer. 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