As Nordic enterprises launch complex autonomous pipelines and real-time decision engines, the continuous flow of data through the organizations has to be fast, stable, and completely transparent. To halt the constantly fighting broken data pipelines and unexpected system failures, the engineering teams are constantly thinking about adopting modern DataOps methodologies and comprehensive Data Observability.
This dedicated focus area on this Enterprise Data Management Conference gives data engineers and infrastructure leads the tools needed to guarantee absolute Data Reliability.
Engineering teams will discover how to protect overall Data Integrity by leveraging automated Data Discovery tools and explicit pipeline contracts. Gaining complete, end-to-end visibility into the data lineage means that the teams can instantly isolate ingestion errors, trace exactly where they originated, and fix them before they impact the machine learning models.
DataOps & Pipeline Highlights
- Technical Session: Advanced DataOps Engineering: A 30-minute deep dive on building automated testing pipelines to catch formatting errors and structural drift early.
- Operational Showcase: Real-Time Observability in Production: Engineering leads demonstrating how they actively monitor streaming architectures and handle automated alerts.
- Moderated Roundtable: Overcoming Pipeline Drift: A collaborative space for engineering and analytics leads to share solutions for keeping data contracts aligned.
Protect The Production Ingestion Streams
Review the full line-up of technical sessions on our agenda tab or purchase your event pass today on our tickets page.
Register for Data 2030 Summit 2026