Building Better Data Models
Quest sponsored on-demand webinar
You've been tasked with coming up with a data model for a system. Where do you start? What do you need to know? What should you expect from a solid data model?
In this webinar we'll look at:
- The process of converting ideas and concepts into data structures.
- What normalization is and why we use it.
- How to move from the logical model to the physical model.
- What specifically to consider when implementing a physical data model on SQL Server.
Armed with this information, you'll be able to start the process of creating a data model or tweaking an existing data model. You'll also have some areas to look for within SQL Server when a database with an implemented data model isn't performing well.
In addition, we will look at how to build a data model in Azure Synapse Analytics using erwin Data Modeler and cover how to build a Logical/Physical data model in Azure Synapse Analytics, adding properties like tables, columns, indexes and views to the model, sharing the data model in different types of reports and collaborating on the data model with different teams.
Join us for this free webinar.