Microsoft Fabric integration
Microsoft Fabric data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.lakehouse_tables
type: ingestr
parameters:
source_connection: microsoft_fabric
source_table: 'lakehouse_tables'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/microsoft_fabric.asset.yml
- extract · Microsoft Fabric lakehouse_tablesincremental
- load · snowflake raw.lakehouse_tablesmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Unified analytics platform from Microsoft that brings together data engineering, data science, real-time analytics, and business intelligence on a single SaaS foundation.
- 01
Add a Microsoft Fabric connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Tables
4 tables, ready to load.
lakehouse_tableswarehouse_tablesdatasetsdataflows
Step-by-step
Pick a destination.
Microsoft Fabric → Snowflake
Read the guide
Microsoft Fabric → Google BigQuery
Read the guide
Microsoft Fabric → Databricks
Read the guide
Microsoft Fabric → Amazon Redshift
Read the guide
Microsoft Fabric → PostgreSQL
Read the guide
Microsoft Fabric → ClickHouse
Read the guide
Microsoft Fabric → DuckDB
Read the guide
Microsoft Fabric → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about Microsoft Fabric.
Does Bruin have a built-in Microsoft Fabric integration?
Yes. Built-in ingestr source. Built-in ingestr destination. Runs SQL and Python assets.
Which Microsoft Fabric tables can Bruin load?
lakehouse_tables, warehouse_tables, datasets, dataflows.
Where can Microsoft Fabric data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Microsoft Fabric?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.