Microsoft Fabric Updates Blog

Create Metadata Driven Data Pipelines in Microsoft Fabric

Metadata-driven pipelines in Azure Data Factory and Synapse Pipelines, and now, Microsoft Fabric, give you the capability to ingest and transform data with less code, reduced maintenance and greater scalability than writing code or pipelines for every data source that needs to be ingested and transformed. The key lies in identifying the data loading and transformation pattern(s) for your data sources and destinations and then building the framework to support each pattern.

I recently posted 2 blogs about a Metadata driven pipeline solution I created in Fabric.

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Features include:

  • Metadata driven pipelines
  • Star schema design for Gold layer tables
  • Source data loaded into Fabric Lakehouse with Copy Data
  • Incremental loads and watermarking for large transaction tables and fact tables
  • 2 patterns for Gold layer
    • Fabric Lakehouse loaded with Copy Data activities and Spark notebooks
    • Fabric Data Warehouse loaded with Copy Data activities and SQL Stored Procedures

Why two options for the Gold layer? If you want to use T-SQL Stored Procedures for transformations, or have existing Stored Procedures to migrate to Fabric, Fabric Data Warehouse may be your best option, since it supports multi-table transactions and INSERT/UPDATE/DELETE statements. Comfortable with Spark notebooks? Then consider Fabric Lakehouse, which has the added bonus of Direct Lake connection from Power BI.

Check out the posts below to learn about building Metadata Driven Pipelines in Microsoft Fabric!

Part 1 – Metadata Driven Pipelines for Fabric with Lakehouse as Gold Layer

Part 2 – Metadata Driven Pipelines for Fabric with Data Warehouse as Gold Layer

Related blog posts

Create Metadata Driven Data Pipelines in Microsoft Fabric

April 9, 2024 by Meenal Srivastva

Create data pipelines in Fabric to access your firewall-enabled ADLS Gen2 storage accounts with ease and security. We are excited to announce a new feature in Fabric that enables you to create data pipelines to access your firewall-enabled Azure Data Lake Storage Gen2 (ADLS Gen2) accounts. This feature leverages the workspace identity to establish a … Continue reading “Introducing Trusted Workspace Access in Fabric Data Pipelines”

April 4, 2024 by Mark Kromer

We are always working on making the experience of building low-code data pipelines as easy as possible for our customers. Next week, we are going to roll-out a new experience in the Script activity in Fabric Data Factory pipelines to make it even easier to build expressions using the pipeline expression language.