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We are releasing the preview of a domain‑native data solution built as a workload in Fabric to power analytics and AI-enabled use-cases for capital markets and hedge fund customers in the finance industry. Financial institutions are moving fast to modernize their analytics stack and accelerate AI adoption, however in capital markets, data complexity remains the single biggest blocker to achieving that goal.
Disparate source systems, inconsistent identifiers, manual reconciliation, and strict regulatory requirements make it difficult to create trusted data assets, let alone safely expose them to AI. This is exactly the problem Capital Markets Datahub on Microsoft Fabric is designed to solve.
The Capital Markets Datahub workload is a third-party solution, built using Fabric Extensibility Toolkit (FET) and Azure AI Foundry integration, delivering reconciled, governed, analytics and AI‑ready financial data directly into a customer’s Lakehouse and Eventhouse.
Hundreds of external and internal data sources such as prime brokers, custodians, market data providers.
At a high level, Capital Markets Datahub provides:
The workflow from data preparation, data delivery and data consumption goes through the following steps.
The_workflow_steps_from_Data_Preparation_to_Data_Consumption
Figure: Schematic diagram of the E2E dataflow from ingestion to publish.
This turns Microsoft Fabric into a platform that now offers a Capital Markets‑ready data and AI data platform. Given financial services is a highly regulated industry the datahub solution also enforces zero trust AI by implementing fine grained security to manage business entitlements so users can see and interact with what they are authorized to see.
As a result, on top of the foundational datasets stored in OneLake, Capital Markets Datahub provides a custom natural language interface called Ask Datahub to its customers allowing users to ask questions such as:
To get started, navigate to the Fabric Workload Hub and add Capital Markets DataHub to your tenant.
Check out the demo video to learn about the complete end to end experience and features.
Workload_Hub_on_Fabric_with_Capital_Markets_Datahub_highlighted
Figure: Schematic diagram of the E2E dataflow from ingestion to publish.
Refer to the Product Documentation for more information.
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