Organizations are increasingly adopting lakehouse architectures to unify analytics and machine learning workloads. However, many implementations suffer from poor foundational decisions that become costly to remediate later. This full-day, hands-on workshop provides practical guidance for architecting, deploying, and operationalizing a robust lakehouse on Microsoft Fabricโensuring scalability, security, and maintainability from day one.
We begin with architectural planning, where participants learn to define business requirements, design governance and security models, select data storage strategies, and plan for scalability, performance, and cost optimization. The focus is on building blueprints and frameworks that prevent common pitfalls and support long-term success.
Next, we explore Infrastructure as Code (IaC) using Terraform to create repeatable, version-controlled deployments. Participants will set up CI/CD pipelines, build reusable modules, and configure Fabric workspaces for Git integration to ensure traceability and collaboration.
The implementation phase takes these designs into practice: deploying the lakehouse foundation, configuring ingestion pipelines for batch and streaming workloads, applying cataloging and metadata management, and validating data quality and security controls. We also cover Fabricโs variables, environments, and deployment rules, showing how to promote changes safely from development to production with CI/CD.
The day concludes with an interactive Ask Me Anything session, where participants revisit core concepts, raise outstanding technical or strategic questions, and clarify how the lessons apply in their own environments.
Key takeaways: attendees will leave with production-ready templates, architectural blueprints, and operational playbooks they can immediately apply within their organizations.
Prerequisites: Basic cloud and data engineering knowledge, with familiarity in IaC and CI/CD concepts. Terraform or Git experience is helpful but not required.
ABOUT THE SPEAKERS:
Johan Ludvig Brattรฅs
Johan Ludvig Brattรฅs leads Data & AI Solutions at Tower NewCo, and a dedicated community guy. He has worked with MS SQL server since late 1999, mostly with BI in one form or another. Since 2015, most of his work has been in the cloud working on data platform services such as Snowflake, Databricks and Fabric.
Combining his passion for MS SQL Server with his passion for sharing knowledge, he started speaking at various events in the SQL Community. This is also a way to give back to the community for all the things he has learned over the years. When not working, Johan Ludvig either spends his time with his kids, playing with new technology or teaching coeliacs how to bake glutenfree food.
Rune Ovlien Rakeie
Rune have been working with databases for 30+ years, primarily in those years with Microsoft SQL Server. Throughout the years he has had many roles, from Developer, Database Designer, Solution Architect and all the way to Production Dba.
Today Rune works for Vivicta as a Principal Cloud Architect on the different cloud vendor's Data Platform Services.
Rune is very active in the Microsoft Data Platform community and have held a position on the board for the Norwegian user group and for the last 8 years he has been running the largest Microsoft Data Platform conference on Norwegian soil, SQLSaturday Oslo, now re-branded to Data Saturday Oslo.
In his spare time you can find Rune in the woods of his hometown Arendal enjoying his hobby, building tracks and riding singletrack bicycling.
