Jourier builds the WithSecure Provisioning API integration into your Microsoft Fabric environment. WithSecure Provisioning API data flows in via real-time CDC and webhooks, lands as modeled tables in Microsoft Fabric, and becomes the layer that BI tools, AI agents, MCP servers, and bespoke applications all read from.

You keep using Microsoft Fabric for what it's good at (storage, compute, governance) and Jourier brings the modeling, the pipelines, and the consumption layers on top. Service-health reporting, deployment analytics, and cost-and-usage reviews delivered through a real engineered application your team owns.

WithSecure Provisioning API produces high-volume telemetry that's expensive to keep raw. Jourier's pipeline lands the aggregations the business actually queries (deployment counts, incident rates, service SLOs) and keeps the raw stream addressable for forensic queries when needed.

On Microsoft Fabric, WithSecure Provisioning API data lands in OneLake with a unified analytics fabric across Lakehouse, Warehouse, and Power BI. Jourier picks the right surface per workload — Lakehouse for raw WithSecure Provisioning API extracts, Warehouse for the modeled layer, Power BI on top — and keeps them coherent through the OneLake foundation.

Result: WithSecure Provisioning API data lives in Microsoft Fabric as engineered tables, ready for service-health reporting and for whatever consumer layer reads from Microsoft Fabric next — BI, AI agents, MCP servers, custom applications.

Pick Microsoft Fabric as your WithSecure Provisioning API backend when your customer cloud already hosts it, or when the workload pattern fits Microsoft Fabric's strengths. Jourier doesn't sell Microsoft Fabric compute. Your contract stays with Microsoft. We bring the engineering and the modeling on top, plus the consumption layers (BI, AI agents, MCP, bespoke apps) that read from WithSecure Provisioning API once it's in Microsoft Fabric.

Can I land WithSecure Provisioning API data in my Microsoft Fabric environment?

Yes. Jourier builds a bespoke WithSecure Provisioning API → Microsoft Fabric pipeline that lands data continuously in your existing Microsoft Fabric workspace. Real-time CDC where WithSecure Provisioning API supports it, scheduled polling and webhooks otherwise. Tables are modeled, documented, and ready for service-health reporting. The pipeline runs on Microsoft Fabric's native compute (no second platform to manage), and the modeling layer above it joins WithSecure Provisioning API with the rest of your operational systems.

Does Jourier require Microsoft Fabric, or can I use a different warehouse for WithSecure Provisioning API?

Microsoft Fabric is one of several supported backends. If your stack already runs on Snowflake, Databricks, Microsoft Fabric, BigQuery, Postgres, Supabase, or Redshift, the WithSecure Provisioning API pipeline adapts to it. Pick Microsoft Fabric when it fits your team's skills, your customer cloud's hosting, and WithSecure Provisioning API's data shape. Jourier doesn't push a specific warehouse — we evaluate the choice with you against existing contracts, compliance, and team familiarity.

How does the WithSecure Provisioning API model in Microsoft Fabric differ from off-the-shelf Microsoft Fabric content?

Off-the-shelf Microsoft Fabric content is generic — schemas designed for the average customer, not yours. Jourier's Data Hub on Microsoft Fabric is bespoke: modeled to your operations, joined across WithSecure Provisioning API and the rest of your operational systems, with the entity definitions your business actually uses. Same Microsoft Fabric engine underneath, but a layer designed for your business. The result is reports, applications, and AI tools that read the same numbers your team uses.

Who owns the WithSecure Provisioning API → Microsoft Fabric pipelines and schemas?

You do. Jourier delivers everything as code in your Microsoft Fabric workspace — pipeline definitions, modeled tables, data dictionaries, runbooks, access-control config. Hand it to another vendor or take it over yourself whenever you want. No vendor lock-in, no per-engagement licence. The Microsoft Fabric subscription stays directly with Microsoft; we don't add a markup.

Can I switch from Microsoft Fabric to a different warehouse later, keeping the WithSecure Provisioning API integration?

Yes. The WithSecure Provisioning API pipeline can re-target. Most of the SQL ports between Microsoft Fabric and another warehouse with light editing — sometimes just dialect changes, sometimes a partition-strategy refactor. Migrations of this kind are part of what Jourier does. The modeling layer (entities, joins, business rules) stays the same; only the underlying compute and storage move.

How long does landing WithSecure Provisioning API into Microsoft Fabric take?

First sync is typically instant to one day. A scoped engagement covering WithSecure Provisioning API plus the modeled tables for the workflows that matter (service-health reporting, deployment analytics) usually runs three to six weeks before production. Bigger transformations are phased. Jourier handles the WithSecure Provisioning API pipeline, the Microsoft Fabric schema design, the access controls, and the documentation. Your team validates the model and trains the analysts.

How predictable are Microsoft Fabric compute costs for this workload?

Predictable, with the right design. Jourier's modeling decisions affect Microsoft Fabric cost directly — partitioning, clustering, materialised views, query patterns. We design the WithSecure Provisioning API model on Microsoft Fabric for the access patterns your team actually has, not for theoretical generality. Most customers see Microsoft Fabric compute costs roughly proportional to user activity once steady-state is reached. We can co-design the schema with cost limits in mind if that's a constraint.

Can WithSecure Provisioning API be joined with other operational systems in Microsoft Fabric?

Yes — that's the point of the Data Hub. Once WithSecure Provisioning API is in Microsoft Fabric, the modeling layer joins it with CRM, ERP, billing, product analytics, and any other source you've integrated. Entity resolution (same customer / same product / same transaction across systems) is handled in the modeling layer. The result: a Microsoft Fabric dataset where a single 'customer' row reflects every system that knows about that customer, joined consistently.

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Aleksi Stenberg Founder & CEO