How to use Microsoft Fabric to report on your Dynamics Data in Dataverse?
Join me for a hands-on session where I’ll show you how to turn your raw Dynamics data into PowerBI reports using Microsoft Fabric and Dataverse. We’ll walk you through finding your Dynamics data in Dataverse, make the connection to Fabric and guide you on building a seamless data pipeline to prepare your data for reporting in PowerBI. Dataverse has been around for quite a while with different methods of ingesting its data. I will also discuss how we migrated from Synapse Link and what we learned from it.
Choosing the Right Incremental Load Strategy in Fabric
Incremental loading has been around for years as a way to keep data pipelines efficient and cost-effective. But what does it look like in Microsoft Fabric, and how can you pick the best approach for your needs?
In this session, we’ll explore how to implement incremental loads in Fabric and, more importantly, how to choose the right strategy for your scenario. We’ll compare different approaches, including CopyJobs, Dataflow Gen2, Notebooks, and Mirroring, highlighting their strengths, limitations, and best-fit use cases.
You’ll learn:
- Why incremental loading is critical for performance and cost optimization
- How to use Fabric’s tools to set up incremental loads that work for large datasets and growing environments
- Practical demos to get you started quickly
By the end of this session, you’ll know how to apply incremental loading in Microsoft Fabric and confidently choose the right approach for your data pipelines.
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