More and more organizations are switching from traditional data warehouses to a modern data platform (such as Databricks, Azure Synapse, Snowflake or Azure Data Lake storage), serverless and without using databases. A lot of those organisations are using Microsoft Power BI to visualize the data from this modern data platform and now like to discover the best way to connect to this data.
In this training
you get an overview of different modern data platforms and their differences in comparison with traditional data warehouses. The training continues with the different options to load data from the different modern data platforms into Power BI and how to configure your data model in Power BI. Hands on you will learn best practices for the different dataset modes (Import, DirectQuery, Composite), incremental loading, performance optimization, row level security, usage of gateways, relationship configuration,...
After this training
- you will learn the differences between traditional data warehouses and different modern data platform technologies.
- You will be able to load the data from the different modern data platform technologies into Power BI
- Hands on, you will learn the best practices for loading your data into Power BI
- You will be able to discuss your specific questions with our experienced data professionals
This training is for
data analysts, professionals with basic SQL knowledge and data engineers
