Speaker

Samu Niemelä

Samu Niemelä

Zure, Data Domain Lead

Zure, Data Domain Lead

Helsinki, Finland

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Samu Niemelä is a seasoned data architect and Domain Lead at Zure, where he helps organizations turn messy data into modern, scalable platforms—mostly on Microsoft Azure, and occasionally with some strong opinions. With over a decade of experience, he’s wrangled technologies like SQL Server, Azure Synapse Analytics, Snowflake, and Microsoft Fabric. Samu lives in the liquorice capital of the world—Kouvola, Finland—with his family, lots of coffee, and surprisingly few debugging regrets.

Yli kymmenen vuoden kokemus dataratkaisuiden ympärillä, pääosin Microsoft teknologioilla.

Area of Expertise

  • Information & Communications Technology
  • Media & Information
  • Real Estate & Architecture
  • Transports & Logistics

Topics

  • Database
  • Microsoft Fabric
  • Data Engineering
  • Big Data
  • Data Analytics
  • Azure Data Platform
  • Azure Data & AI
  • Azure SQL Database
  • Data Management
  • Data Platform
  • Azure Data Factory
  • Data Warehousing
  • Databases
  • All things data
  • Microsoft Data Platform
  • Azure Data Lake
  • Microsoft Azure
  • Data Architecture

When Deployment Pipelines Aren’t Enough: CI/CD Patterns for Microsoft Fabric at Scale

Have you ever wondered how to bring proven software development CI/CD methods into Microsoft Fabric without losing governance? In large Fabric environments, the hardest problem is not deploying once—it is letting many teams deploy safely at the same time, with traceability, approvals, and clear ownership.

In this session, you will learn a practical CI/CD model for Fabric built on Azure DevOps, Fabric CLI, and the Fabric Python CI/CD package. We will show a scalable workspace and environment structure, a service principal access pattern based on least privilege, and a release process with gates that platform teams can enforce without slowing delivery. You will leave with a repeatable blueprint: a reference pipeline flow, a recommended repo and branching approach, and a checklist for permissions, promotion, and deployment controls that works across multiple domains and projects.

Samu Niemelä

Zure, Data Domain Lead

Helsinki, Finland

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