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
Data Contracts and Data Testing in Modern Data Pipelines
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
Product





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
Product
Solutions





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
Product
Solutions
Company



















