Andreas Geysegoms

Andreas Geysegoms

Consultant & Data Engineer @ AE

Leuven, Belgium

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Andreas is a Certified Fabric Data Engineer, with a strong background in software development & security fundamentals.
He works on Fabric Data Platforms on a daily basis. His passions are both the art of data modeling, purpose-fit for reporting (Kimball style obviously) and bringing Software Engineering Best Practices to the data engineering world. He is fascinated by all things data and takes pride in his professional achievements large and small. Andreas is a strong advocate for achievement and excellence through collaboration and co-creation. As an individual, Andreas likes to share knowledge and is eager to learn.

Area of Expertise

  • Information & Communications Technology

Topics

  • Data Engineering
  • Fabric
  • Fabric Data Engineering
  • dbt
  • Data Engineering with Python
  • python
  • SQL
  • Data Quality
  • Data Testing
  • Data Quality Engineering
  • Data Quality & Testing
  • Monitoring and Observability
  • Microsoft Fabric Data Engineering
  • Infrastructure as Code
  • Databricks
  • power bi
  • data warehouse architectures
  • Kimball Methodology
  • data warehouse
  • Data Platform
  • All things data
  • Microsoft Data Platform
  • Microsoft SQL Server
  • Microsoft Power BI
  • Microsoft Data Platfom
  • Microsoft Azure
  • Microsoft
  • SparkSQL
  • PySpark
  • Apache Spark
  • Spark

dbt and Fabric - a match made in heaven?

Not too long ago, data build tool (dbt) has taken the data world by storm. With official support for Fabric, is it the right time to also get to grips with dbt?
In this session you will learn what dbt is - the good, the bad and the ugly. You will see what adopting this part of the modern data stack can offer you. After attending the session you will be able to start using data build tool right away, whilst also having the knowledge to combat data quality and governance issues all within Fabric and your favorite code editor.

Prerequisites: basic Fabric and basic SQL knowledge are recommended.

Your Data Platform Has No Idea Who It Just Broke

Monday morning, you open your laptop only to see ingestion failed overnight. Downstream teams still want to their reports , so your pipeline keeps running. Your reports are now lying and nobody looking at them knows it.

You want the broken part of the data platform to stop before it serves false data. You also want everything else to keep running.

Data products let you split a data platform into independent domains. I'll show practical dbt features and Fabric pipeline adaptations that draw a hard boundary between domains, without a full platform rewrite.

Proficiency with SQL and dbt is recommend.

Andreas Geysegoms

Consultant & Data Engineer @ AE

Leuven, Belgium

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