Let’s discuss connecting Smaily to Microsoft Fabric.
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Smaily - Microsoft Fabric.
Connect Smaily to Microsoft Fabric through Jourier's bespoke data layer. Customer-owned pipeline, hosted on your cloud or by Jourier.
Connect Smaily to Microsoft Fabric through Jourier's bespoke data layer. Customer-owned pipeline, hosted on your cloud or by Jourier.
Jourier builds the Smaily integration into your Microsoft Fabric environment. Smaily 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. Deliverability reporting, engagement analytics, and lifecycle conversion delivered through a real engineered application your team owns.
Smaily stores recipient lists, sends, opens, clicks, and bounces in a stream-shaped event model. Jourier lands these as event tables in the warehouse, plus modeled fact tables (campaign performance, deliverability by domain, engagement cohorts) ready for analytics consumption.
Fabric's tight integration with the Microsoft 365 estate makes Smaily data immediately available to Excel, Teams, and Power BI users without extra plumbing. Jourier designs the modeled layer so business consumers reach Smaily data through whichever Microsoft surface they already use, against consistent semantics.
Result: Smaily data lives in Microsoft Fabric as engineered tables, ready for deliverability reporting and for whatever consumer layer reads from Microsoft Fabric next — BI, AI agents, MCP servers, custom applications.
Pick Microsoft Fabric as your Smaily 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 Smaily once it's in Microsoft Fabric.
Yes. Jourier builds a bespoke Smaily → Microsoft Fabric pipeline that lands data continuously in your existing Microsoft Fabric workspace. Real-time CDC where Smaily supports it, scheduled polling and webhooks otherwise. Tables are modeled, documented, and ready for deliverability reporting. The pipeline runs on Microsoft Fabric's native compute (no second platform to manage), and the modeling layer above it joins Smaily with the rest of your operational systems.
Microsoft Fabric is one of several supported backends. If your stack already runs on Snowflake, Databricks, Microsoft Fabric, BigQuery, Postgres, Supabase, or Redshift, the Smaily pipeline adapts to it. Pick Microsoft Fabric when it fits your team's skills, your customer cloud's hosting, and Smaily's data shape. Jourier doesn't push a specific warehouse — we evaluate the choice with you against existing contracts, compliance, and team familiarity.
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 Smaily 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.
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.
Yes. The Smaily 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.
First sync is typically instant to one day. A scoped engagement covering Smaily plus the modeled tables for the workflows that matter (deliverability reporting, engagement analytics) usually runs three to six weeks before production. Bigger transformations are phased. Jourier handles the Smaily pipeline, the Microsoft Fabric schema design, the access controls, and the documentation. Your team validates the model and trains the analysts.
Predictable, with the right design. Jourier's modeling decisions affect Microsoft Fabric cost directly — partitioning, clustering, materialised views, query patterns. We design the Smaily 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.
Yes — that's the point of the Data Hub. Once Smaily 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.
Let’s discuss connecting Smaily to Microsoft Fabric.
Book a meeting