Jourier builds the Microsoft SharePoint integration into your Microsoft Fabric environment. Microsoft SharePoint 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. Document analytics, access-pattern reporting, and storage-cost dashboards delivered through a real engineered application your team owns.

Permissions and sharing in Microsoft SharePoint are sensitive. Jourier's modeling layer captures the access graph (which users can reach which folders) so security teams can audit access against a queryable layer.

Capacity-based pricing in Fabric makes Microsoft SharePoint workload sizing a real engineering question. Jourier tunes the Microsoft SharePoint pipeline against your capacity allocation — partitioning, refresh scheduling, and incremental loads sized for the F-SKU you're paying for, rather than defaulting to whatever the platform suggests.

Result: Microsoft SharePoint data lives in Microsoft Fabric as engineered tables, ready for document analytics and for whatever consumer layer reads from Microsoft Fabric next — BI, AI agents, MCP servers, custom applications.

Pick Microsoft Fabric as your Microsoft SharePoint 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 Microsoft SharePoint once it's in Microsoft Fabric.

Can I land Microsoft SharePoint data in my Microsoft Fabric environment?

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

Does Jourier require Microsoft Fabric, or can I use a different warehouse for Microsoft SharePoint?

Microsoft Fabric is one of several supported backends. If your stack already runs on Snowflake, Databricks, Microsoft Fabric, BigQuery, Postgres, Supabase, or Redshift, the Microsoft SharePoint pipeline adapts to it. Pick Microsoft Fabric when it fits your team's skills, your customer cloud's hosting, and Microsoft SharePoint'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 Microsoft SharePoint 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 Microsoft SharePoint 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 Microsoft SharePoint → 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 Microsoft SharePoint integration?

Yes. The Microsoft SharePoint 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 Microsoft SharePoint into Microsoft Fabric take?

First sync is typically instant to one day. A scoped engagement covering Microsoft SharePoint plus the modeled tables for the workflows that matter (document analytics, access-pattern reporting) usually runs three to six weeks before production. Bigger transformations are phased. Jourier handles the Microsoft SharePoint 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 Microsoft SharePoint 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 Microsoft SharePoint be joined with other operational systems in Microsoft Fabric?

Yes — that's the point of the Data Hub. Once Microsoft SharePoint 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