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Microsoft Fabric: all your data, one lake.

Arcetec is a Microsoft Partner and implements Microsoft Fabric and OneLake to get companies' data ready for artificial intelligence. OneLake brings together what is scattered today (the ERP, the Excel files, the old SQL database) into a single multi-cloud logical lake, without heroic migrations: with shortcuts and mirroring, data is connected instead of copied, even from AWS, GCP, on-premises SQL, SAP or Snowflake, and OneLake security defines row- and column-level roles and permissions once for all workloads. The work starts with a data source assessment (what you have, where it lives and what is worth unifying), continues with the lake and Power BI dashboards that read from a single source of truth and stop depending on manual extracts, and ends where the advantage begins today: Copilot and Azure AI Foundry answering business questions with the company's OneLake. The first useful data domain is measured in weeks: one source, one dashboard, one question answered. Engagements begin with a conversation and a scoped assessment, with fixed scope and price. We operate from Cajicá, Cundinamarca.

OneLake brings together what is scattered today — the ERP, the Excel files, the old SQL database — without heroic migrations: shortcuts and mirroring, zero copies. On top of it, dashboards and agents that answer with your numbers.

Las fuentes de datos de la empresa —SQL on-prem, Excel · CSV, ERP— unificadas en un solo lago OneLake de Microsoft Fabric, cada una conectada por su propia vía y sin migrarse, con el consumo del lago creciendo mes a mes.

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What it solves

Four symptoms of the same problem: the data exists, but it isn't where decisions are made.

What Arcetec does.

From the data source inventory to the agent that answers with your numbers, in four steps delivered separately.

The platform, by the numbers

What Fabric and OneLake bring out of the box; we tailor it to your case.

Questions we get before getting started

Do we have to migrate everything to Azure?
No: OneLake connects through shortcuts and continuous mirroring to on-premises SQL Server, Azure SQL, Cosmos DB, PostgreSQL, Oracle, SAP or SharePoint lists, without moving the data. The heroic migration (the one that takes a year and freezes the company) is exactly what this approach avoids: the data stays where it is and the lake references it.
What happens to our current Power BI reports?
They're kept: they switch to reading from OneLake and stop depending on manual extracts. The work invested in the dashboards isn't thrown away; their source is replaced with one that doesn't drift and refreshes automatically.
Who can see what?
OneLake security defines row- and column-level roles and permissions once, for all workloads: the same permission governs the dashboard, the SQL query and the agent answering in Teams. No one sees through AI what they couldn't see in the dashboard.
How long until we see the first result?
The first useful data domain is measured in weeks: one source, one dashboard, one question answered. With that in production, the next domain is chosen based on evidence, not on faith in a two-year plan.

Other pages on this topic.

The other pages on this topic, so you can continue wherever is most useful.

Is the monthly report still built by hand?

Tell us where your numbers come from today and we'll show you what your first data domain in OneLake would look like — one source, one dashboard, one question answered.

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Topic:Data and analytics