Microsoft Fabric is evolving rapidly. As early adopters, we've gained hands-on insights into its strengths, challenges, and how organisations can maximise its potential.
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These aren’t major roadblocks, just aspects that organisations implementing Fabric may need to navigate.
Having deployed Microsoft Fabric in one of the first and largest projects in Australasia, we’ve gained valuable hands-on experience. While our initial expectations were high, real-world application has revealed both the strengths of the platform and some of the growing pains that come with being an early adopter.
In our previous blog, we introduced Microsoft Fabric and explored its potential for organisations looking to streamline their data ecosystem. Now, we’re building on that discussion by sharing what we’ve learned since implementing Fabric, what’s working well, what’s been challenging, and how organisations can maximise the value of Fabric while minimising disruption.
The Platform Is Evolving, So Be Ready to Adapt
Microsoft Fabric is still maturing, which means that some functionality is limited, and certain processes require workarounds. We’ve found that maintaining a flexible, iterative approach is essential. This includes:
For example, while Microsoft has been rolling out enhancements, we’ve had to implement manual processes to bridge gaps in functionality. Being proactive and adaptable is key to making the most of Fabric’s capabilities.
1 - Current Platform Limitations
Microsoft is continuously improving Fabric, but there are some gaps that have required us to rethink workflows and develop interim solutions:
Despite these challenges, we’ve seen significant improvements over time. Staying informed on Microsoft’s updates has helped us anticipate changes and proactively address potential issues.
2 - Optimising Costs: Notebooks vs. Pipelines
An important factor we had to consider when implementing Fabric was balancing the use of notebooks versus data pipelines. Notebooks can be a cost-effective option in some cases, but depending on workload demands, data refresh rates, and user activity, pipelines may be the better choice.
Running always-on pipelines can drive up costs unnecessarily, so using notebooks for ad-hoc processing can help optimise spend. Microsoft Fabric’s monitoring tools allow us to analyse usage patterns and fine-tune resource allocation accordingly.
3 - Legacy System Integration
Fabric is designed for seamless cloud integration, but integrating it with legacy systems can be complex, particularly for organisations with compliance-heavy environments or inconsistent internet reliability.
Organisations with strict data residency requirements need to carefully assess how Fabric interacts with on-premise systems. Connectivity challenges require contingency planning, and having redundant pathways for critical data flows is essential.
4 - Governance & Security: Don’t Skip This Step
Fabric consolidates multiple functions, including Data Engineering, Analytics, and Visualisation, within a single platform. Without clear governance, the environment can quickly become disorganised.
Defining access roles early is crucial, as a lack of proper role-based access control (RBAC) can lead to data management issues. Setting up governance frameworks for data ingestion, version control, and quality assurance from the start is equally important. Security must also be prioritised by understanding how Fabric manages encryption and permissions to prevent data exposure.
Microsoft Fabric offers significant potential, but early adoption requires careful planning. Based on our experience, here’s how organisations can set themselves up for success:
By addressing these considerations early, organisations can navigate the challenges of early adoption and unlock the full potential of Microsoft Fabric.
Need expert guidance? Let’s chat >>
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Written by | Jeannette Perez (JP), Analytics Manager at Data Insight
With over 15 years of experience in analytics and data-driven decision-making, JP specialises in transforming complex information into strategic insights. She is passionate about making data accessible, guiding clients through challenges, and delivering impactful solutions.