Name: Make your data pipelines more reliable: Alerting and automated calculation of SLIs through meaningful quality metrics
Start: 2026-05-27T12:00:00+0200
End: 2026-05-27T12:30:00+0200

Make your data pipelines more reliable: Alerting and automated calculation of SLIs through meaningful quality metrics

FULL

Wednesday May 27, 2026 12:00 - 12:30 CEST

🤖 DATA/AI ARENA

Limited Capacity full
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For the dataplatform teams, building high-performance pipelines is only a part of the equation: the real challenge is ensuring that this data is accurate, up to date and usable by business units and AI models on a daily basis. Data quality has thus become the true battle of trust between technical teams and end users.

However, ensuring this quality across an entire organisation is complex, therefore defining and enforcing global data quality rules across an entire company rarely works: only local teams understand the reality and specific nature of their data. Yet, allowing each team to manage its indicators in silos creates chaos in communication, forcing Product Managers (PMs) in particular to manually cobble together their Service Level Indicator (SLI) calculations and user alerts. An unsustainable situation, especially since data of impeccable quality is now an essential prerequisite for deploying artificial intelligence on a large scale.

In this talk, we will present our experience in creating a standardised data model. We will also see why quality measurement must remain the responsibility of the local product team, while standardising its reporting via a ‘Plug & Play’ architecture. We will the explain how to design this layer independently of the underlying technical solution in order to use these unified metrics to generate reliable SLIs. Finally, we will discuss the prospects offered by this formalism, which paves the way for more complex use cases such as feeding a cross-functional Data Cockpit or evaluating real Data Contracts.

The goal isn't to dictate a tool, but to create a universal standard of communication. We will detail this agnostic architecture that acts as the single source of truth for your pipelines. No more mental load for Product Managers: this overlay automatically transforms every test suite into business SLIs and proactive alerts, making your data reliability 100% autonomous.

Speakers

Thomas Fenot

Decathlon

As a Data Engineer at Decathlon for 4 years, Thomas builds and scales data products within the Data Platform Business Unit. Operating in the "Core Data Product Planet and Industry" team, his primary focus is delivering the complex data models required to calculate product carbon footprints... Read More →

Wednesday May 27, 2026 12:00 - 12:30 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

Data / AI, Conference

Audience Intermediate

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Dev Summit 2026

Thomas Fenot

Attendees (60)

Waitlist (18)

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Success you have shared X tickets.

Dev Summit 2026

Thomas Fenot

Attendees (60)

Waitlist (18)

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