Événements à venir

Événements à venir

How to Implement Data Contracts in Production at Scale
How to Implement Data Contracts in Production at Scale

Learn how to run data contracts in production using the Soda CLI and AI agents with the Soda MCP server. In this session, Soda engineer Paul Teehan writes, verifies, and auto-generates contracts, followed by an extended community Q&A.

Événements Passés

Closing the Data Quality Loop with AI Agents By Soda, Verified

Closing the Data Quality Loop with AI Agents By Soda, Verified

How To Monitor Data Quality in a Databricks Unity Catalog

How To Monitor Data Quality in a Databricks Unity Catalog

cvent cover image
Data Contracts and Data Testing in Modern Data Pipelines

cvent cover image
Data Contracts and Data Testing in Modern Data Pipelines

Soda chez Databricks Chicago

Soda chez Databricks Chicago

Soda chez Databricks NYC

Soda chez Databricks NYC

Soda à Databricks Amsterdam

Soda à Databricks Amsterdam

Soda chez Databricks Londres

Soda chez Databricks Londres

Transformez les politiques Collibra en contrôles automatiques de la qualité des données avec Soda

Transformez les politiques Collibra en contrôles automatiques de la qualité des données avec Soda

Découvrez le premier contrat de données collaboratif au monde

Découvrez le premier contrat de données collaboratif au monde

La surveillance des données la plus rapide et la plus précise | Soda Live

La surveillance des données la plus rapide et la plus précise | Soda Live

La qualité des données évolue | Soda Live

La qualité des données évolue | Soda Live

Comment maîtriser la qualité des données dans Databricks | Soda Live

Comment maîtriser la qualité des données dans Databricks | Soda Live

Comment détecter les problèmes de données tôt dans Databricks | Soda Live

Comment détecter les problèmes de données tôt dans Databricks | Soda Live

Comment surveiller les tables Databricks à grande échelle

Comment surveiller les tables Databricks à grande échelle

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4,4 sur 5

Commencez à faire confiance à vos données. Aujourd'hui.

Trouvez, comprenez et corrigez tout problème de qualité des données en quelques secondes.
Du niveau de la table au niveau des enregistrements.

Adopté par

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4,4 sur 5

Commencez à faire confiance à vos données. Aujourd'hui.

Trouvez, comprenez et corrigez tout problème de qualité des données en quelques secondes.
Du niveau de la table au niveau des enregistrements.

Adopté par

Trusted by the world’s leading enterprises

Real stories from companies using Soda to keep their data reliable, accurate, and ready for action.

At the end of the day, we don’t want to be in there managing the checks, updating the checks, adding the checks. We just want to go and observe what’s happening, and that’s what Soda is enabling right now.

Sid Srivastava

Director of Data Governance, Quality and MLOps

Investing in data quality is key for cross-functional teams to make accurate, complete decisions with fewer risks and greater returns, using initiatives such as product thinking, data governance, and self-service platforms.

Mario Konschake

Director of Product-Data Platform

Soda has integrated seamlessly into our technology stack and given us the confidence to find, analyze, implement, and resolve data issues through a simple self-serve capability.

Sutaraj Dutta

Data Engineering Manager

Our goal was to deliver high-quality datasets in near real-time, ensuring dashboards reflect live data as it flows in. But beyond solving technical challenges, we wanted to spark a cultural shift - empowering the entire organization to make decisions grounded in accurate, timely data.

Gu Xie

Head of Data Engineering

4,4 sur 5

Commencez à faire confiance à vos données. Aujourd'hui.

Trouvez, comprenez et corrigez tout problème de qualité des données en quelques secondes.
Du niveau de la table au niveau des enregistrements.

Adopté par