Let’s face it: not everyone wakes up excited about data pipelines, licensing models, or Microsoft Fabric Link. But what if someone could break down those buzzwords into something clear, concise, and maybe even enjoyable? That’s exactly what you’ll get in our new video series, Decoding Data and AI with Debbie. Hosted by Debbie Altham, Senior Director for Sikich’s Data & AI practice, each episode unpacks a timely topic in the world of Data & AI with the help of a product or subject-matter expert.
Whether you’re knee-deep in Microsoft Dynamics 365 or just starting to explore how AI can impact your business, this series is here to make the technical feel practical—and human.
In our first episode, Debbie sits down with Dynamics 365 expert Rob Dowsett to break down Fabric Link—what it is, why it matters, and how it fits into the broader Microsoft data landscape.
Here’s a comprehensive look at what was covered:
Fabric Link is a new capability designed to connect your business data, primarily from Dynamics 365 and Power Apps, to Microsoft Fabric, Microsoft’s next-gen data platform. It enables data to be surfaced from Dataverse into Fabric without requiring traditional replication or multi-step exports.
Unlike older tools like BYOD or Export to Data Lake, Fabric Link doesn’t force you to manage your own SQL database or manually set up pipelines. It’s a streamlined, Microsoft-managed bridge to your Fabric Data Lake.
If you’ve used Export to Data Lake before, Fabric Link might feel familiar. But it’s a significant upgrade:
Fabric Link is the evolution of those tools, offering a plug-and-play experience for organizations that want easy access to their Dynamics 365 data in Fabric.
Very. One of the biggest advantages is that Fabric Link uses built-in Spark technology, eliminating the need for you to manage compute infrastructure or convert data manually. This is a big shift from Synapse Link, which required Spark compute to transform data into Parquet format—adding both cost and complexity.
With Fabric Link, Spark is baked in, and the cost is predictable. You simply choose a SKU (compute tier) based on your organization’s needs, and you can scale up or down as needed.
So, when should you use Fabric Link, and when is Synapse Link a better fit?
In short:
→ If you want something fast, simple, and natively integrated with Fabric, go with Fabric Link.
→ If you need advanced control and are already using third-party data platforms, Synapse Link might still be your best bet.
As with any new product, there are a few caveats:
That said, for most Dynamics users, these tradeoffs are more than manageable, especially when weighed against the ease of setup and maintenance.
If you’re using Dynamics 365 (Finance, Supply Chain, Field Service, Customer Engagement, or even Business Central), Fabric Link offers a low-barrier, high-value way to start pulling your data into a modern analytics platform. It helps eliminate complex pipeline builds, reduces reliance on IT-managed infrastructure, and supports scalable reporting, AI/ML use cases, and more—at a predictable cost.
Plus, you can start small with Power BI and grow into AI and machine learning use cases over time.
Interested in seeing how Fabric Link—or Microsoft Fabric overall—could fit into your data strategy? Our Data & AI team is here to help.
Contact us today to get started.
This publication contains general information only and Sikich is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or any other professional advice or services. This publication is not a substitute for such professional advice or services, nor should you use it as a basis for any decision, action or omission that may affect you or your business. Before making any decision, taking any action or omitting an action that may affect you or your business, you should consult a qualified professional advisor. In addition, this publication may contain certain content generated by an artificial intelligence (AI) language model. You acknowledge that Sikich shall not be responsible for any loss sustained by you or any person who relies on this publication.