watermark picture

Maximize your Power BI setup on a Modern Data Platform

This training starts with an overview of different modern data platforms and their differences in comparison with traditional data warehouses.

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

    Related cases

    Related blogs

    How we leveraged AWS SQS & Lambda to build a cost-effective and robust streaming data pipeline

    Imagine a scenario where you get a requests for assistance in handling clickstream data received through Snowplow. This exactly what one of our clients, that handles huge amounts of customer data through their platform, was looking for. In this blog post, we go step by step through their request and how we handled it.

    Read More

    Is a Customer Data Platform the best solution for you?

    As much as off-the-shelf Customer Data Platforms promise to offer a click-and-play solution, they cannot magically crack every intricate data engineering challenge compared to building an in-house solution on your own data stack. One thing is sure: the best choice will depend on an understanding of your organization.

    Read More

    How Hyperscale comes to the rescue when troubleshooting Azure SQL Server performance

    What to do when facing performance issues with your ETL workflows processing data for loading your Data Warehouse in Azure SQL Server? Let’s dive into how we troubleshooted such performance issues and how Hyperscale came to the rescue.

    Read More

    Microsoft Fabric: The Game-Changer in Data Analytics?

    Microsoft introduced Fabric this week. Possibly and probably the game-changing solution that can transform data analytics and integration. We dived into what Microsoft has unveiled with Microsoft Fabric and how this can impact Data Engineers, Analysts and Scientists. But we also have some open questions that we will answer once we are finished testing this exciting technology.

    Read More