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Coauthor: Brad Watts, Principal Product Manager, RTI
Industrial organizations generate a continuous stream of operational signals—temperature, pressure, flow, vibration, energy, and more. Much of that data is captured in plant historians, systems built to collect and store sensor and equipment data over long periods, often driven by compliance needs and operational reporting.
But historians were de1] signed to run plants—not to power modern, cloud‑scale analytics and AI. The result is a familiar gap: operational data exists, yet it can remain difficult to unify, govern, and operationalize across teams and systems.
Fusion built on Microsoft Fabric to help organizations bring together data, analytics, and governance in a single SaaS platform. And for industrial customers, a critical step is enabling OT (Operational Technology) time‑series data to become analytics‑ready in Fabric—securely, at scale, and without breaking trust in the data.
Fusion Data Hub is designed to ingest and harmonize OT data from industrial sources (on-prem and cloud historians and edge devices) and land it into Fabric’s Real‑Time Intelligence foundations - Eventhouse and KQL databases so teams can analyze it using Fabric-native experiences.
The challenge: Turning OT time‑series into trusted, usable data in the cloud
Industrial data integration is not just “moving data.” It’s handling the realities of production environments:- Multiple historian systems, both on-prem and in the cloud following different naming conventions (including different ways of representing “good/bad/unknown” quality).
- Edge cases like late‑arriving data, gaps, future timestamps, and intermittent connectivity—common in real industrial scenarios
- A requirement for security and trust: Customers need to ensure that their data in the cloud remains high-fidelity and matches the source data in the historian, any inconsistencies could result in impact to downstream workflows and decision-making systems consuming the data.
- Many customers attempted to build home- grown connectors and pipelines. While proof‑of‑concepts could be created, getting to a truly enterprise‑grade solution (secure, scalable, resilient, and maintainable) can take months to be production ready, with the added complexity of managing change as data sources and patterns evolve which in some cases results in failure to meet production requirements.
The solution: Bringing industrial time‑series into Fabric with Fusion Data Hub
Fusion Data Hub workload on Microsoft Fabric helps accelerate Fabric adoption for customers in manufacturing, energy, oil and gas industries by providing ready-to-use integrations and connectors that bring OT and time‑series data from disparate on-premises and cloud systems into Fabric, making the data analytics‑ and AI‑ready more quickly. Fusion supports the following out-of-box connectors to ingest data into real-time hub:- OPC-UA
- AspenTech IP.21
- AVEVA PI System
- Schneider Electric Geo SCADA – Formerly ClearSCADA
- Inductive Automation Ignition
- Rockwell Automation
What this enables on our Fabric platform
- Near real‑time visibility: End‑to‑end data availability, from the manufacturing plant floor into the customer’s Eventhouse in Fabric within 20–30 seconds using the connectivity provided by Fusion.
A_visual_of_trendlines_from_time-series_data_ingested_in_Kusto_database
Figure: A visual display of trendlines ingesting real-time streaming data into an Eventstream.
- Data fidelity and trust: Normalize data across enterprise leading historians, providing a common data schema ready for enterprise insights. Providing deduplication, late-arriving data, and pre-aggregation along with asset hierarchy management.
A_view_of_the_real-time_normalized_data_in_Kusto
Figure: A view of aggregated datasets ingested from various historians into Kusto tables.
- Scalable ingestion for high-volume industrial telemetry: Built for both large tag counts and high‑frequency data, scaling with your needs, from a few events per second to millions of events per second.
- Faster time‑to‑value: Focus your energy on what matters most, getting insights to better run your plant vs building a custom IT solution.
Industrial_Analytics_delivered_at-scale_Powered_by_Fabric_Real-Time_Intelligence
Figure: Streaming device data with properties and tags ingested from plant historians.
Why this matters
Fusion’s goal is to help industrial organizations adopt Microsoft Fabric not just as a data platform, but as a foundation for Real-Time Intelligence and AI-ready decision system. Fusion Data Hub on Fabric supports that by enabling OT time-series data to be ingested, organized, and used across teams—from engineers validating signals to operations leaders building dashboards and analytics on top of governed data assets.Getting started
Fusion_Data_Hub_s_Product_Page_on_Fabric
Figure: Fusion Data Hub workload details page.
Add Fusion Data Hub workload to your workspace for a hands-on sample experience in the demo environment.
Check out this demo video for a step-by-step guide on Getting started.
To learn more, refer to Fusion’s Product documentation .
Upgrade directly from inside the application by selecting Upgrade or to learn more about how to purchase go to Azure Marketplace.
To connect with a member of the Fusion team go to Contact us.