The cloud gave rise to a plethora of concepts and technologies that revolutionized analytics. One of these was data lakes. Despite its promise, there were some areas that it could not properly capitalize on; especially that of certain data warehousing capabilities. Enter the data lakehouse.
In this workshop we will start by looking at the concept of a data lakehouse, architecture, and how you would set up one. We will then look at how you would engineer data and engineer analytics to set-up a platform for all types of analytics. Finally, we will look at different use cases of how to consume the data and analytics.

Workshop Content
• Data lakehouse concepts and architecture
• Architecture and typical data lakehouse set-up
• Data engineering on the lakehouse with Azure Databricks
• Analytics engineering on the lakehouse with Azure Synapse Analytics
• Data and analytics consumption use cases with Power BI

Technology areas covered
• Azure Databricks
• Azure Synapse Analytics
• Power BI

At the end of the workshop, you will be able to appreciate the need for a data lakehouse, and understand how an end-to-end analytics platform is implemented using the concept.

Full day workshop