Established a metadata-driven approach with Azure Synapse Data Pipelines?

Can we build our Azure Synapse Data Pipelines all with parameters and can we use a Meta Driven Approach? Yes, you can, and I will show you how to. During this session I will show you how, you can use a Meta Driven Approach to achieve the following requirement: • Load Incremental or Full datasets from your source database to Azure Data Lake. • Track history from extracted tables by using the Delta Lake functionality in Azure DataBricks, Synapse Spark or DataFlows. • Make this data available in Azure Synapse Analytics Serverless Pools. • Create logging of above processes. As you can see a lot to talk and to demo about during this session.