More and more organizations are switching from traditional data warehouses to a modern data platform, serverless and without using databases. The traditional data warehouses lack the ability to add semi-structured and unstructured data, and SQL databases do not allow for a cost-optimized setup. And while decoupling data storage and processing is a good thing by itself, it adds significant complexity and unwanted delays because data is copied from one component to another.
In this training
- you'll start with understanding why we should switch from traditional data warehouses to a modern data platform.
- The training continues with an introduction to Azure Synapse. Hands on you will create your Azure Synapse data model/solution, and all best practices to take into account.
- In the last part of the training, you will set up your Power BI platform and learn the best practices to load your data into Power BI.
- The visualization of your data inside Power BI is not in scope of this training.
- Other topics as cost-optimization, performance, incremental loading, security, documentation, governance,… will also be discussed briefly.
After this training
- you will learn the differences between traditional data warehouses and a modern data platform.
- You will discover all capabilities of Azure Synapse.
- Hands on, you will learn all best practices to load your data in Azure Synapse and Power BI.
- You will be able to discuss your specific questions with our experienced data professionals.
This training is for
- Data engineers or developers that wish to develop their knowledge of Azure Synapse
- Any data analyst working within an Microsoft environment
- Data Team Manager that wishes to leverage new capabilities of the Microsoft stack.
