Agenda

Content:

​Synapse Analytics combines the use of a relational data warehouse and a big data ADL in one single workspace. Data lakehouse on the other hand is the ability to query data directly and in the same way no matter if the data are in a data lake or relational data warehouse. Is it just the workspace that makes the concept of Data lakehouse real in Synapse Analytics? Let's discover the complex concept of Lakehouse easy and step by step by using T-SQL in Synapse. Understand what the Lakehouse is, potential use cases, and how to get there. We will talk about querying and creating objects in Synapse Serverless, usage of Lakehouse templates. You will learn some tips and trick on the way, and I promise I will not speak Phyton (too) loudly!

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Key Take-Aways:

The students will understand the concept of Data Lakehouse and how it could be implemented in Synapse Analytics Environment. they will discover which Synapse Elements work together to build a lakehouse and how to use T-SQL language to combine them in a single solution.