
Modèle Général
Modèle Général
Assurez une cohérence irréprochable entre tous vos produits de données
Assurez une cohérence irréprochable entre tous vos produits de données
Soda AI
AI that writes data contracts for you
Rédigez un sous-titre descriptif court pour le Data Contract ici. Une ou deux phrases suffiront amplement.
Data contract description
This data contract enforces schema stability, it prevents missing or duplicate IDs, blocks missing timestamps, and applies basic validity guardrails such as minimum/maximum lengths for key text fields. Together, these checks catch broken loads, malformed records, and structural changes early.
general_data_contract.yml
datasetchecks: - schema: allow_extra_columns: false allow_other_column_order: false - row_count: threshold: must_be_greater_than: 0
columns: - name: id data_type: varchar checks: - missing: - duplicate: - name: date data_type: timestamp checks: - missing: - name: column_1 data_type: varchar checks: - missing: - invalid: valid_min_length: 1 valid_max_length: 255 - name: column_2 data_type: varchar checks: - invalid: valid_values: ["C", "A", "D"] - name: column_3 data_type: integer checks: - aggregate: function: avg threshold: must_be_between: greater_than: 20 less_than: 50
Data contract description
This data contract enforces schema stability, it prevents missing or duplicate IDs, blocks missing timestamps, and applies basic validity guardrails such as minimum/maximum lengths for key text fields. Together, these checks catch broken loads, malformed records, and structural changes early.
general_data_contract.yml
datasetchecks: - schema: allow_extra_columns: false allow_other_column_order: false - row_count: threshold: must_be_greater_than: 0
columns: - name: id data_type: varchar checks: - missing: - duplicate: - name: date data_type: timestamp checks: - missing: - name: column_1 data_type: varchar checks: - missing: - invalid: valid_min_length: 1 valid_max_length: 255 - name: column_2 data_type: varchar checks: - invalid: valid_values: ["C", "A", "D"] - name: column_3 data_type: integer checks: - aggregate: function: avg threshold: must_be_between: greater_than: 20 less_than: 50
Data contract description
This data contract enforces schema stability, it prevents missing or duplicate IDs, blocks missing timestamps, and applies basic validity guardrails such as minimum/maximum lengths for key text fields. Together, these checks catch broken loads, malformed records, and structural changes early.
general_data_contract.yml
datasetchecks: - schema: allow_extra_columns: false allow_other_column_order: false - row_count: threshold: must_be_greater_than: 0
columns: - name: id data_type: varchar checks: - missing: - duplicate: - name: date data_type: timestamp checks: - missing: - name: column_1 data_type: varchar checks: - missing: - invalid: valid_min_length: 1 valid_max_length: 255 - name: column_2 data_type: varchar checks: - invalid: valid_values: ["C", "A", "D"] - name: column_3 data_type: integer checks: - aggregate: function: avg threshold: must_be_between: greater_than: 20 less_than: 50
How to Enforce Data Contracts with Soda
Embed data quality through data contracts at any point in your pipeline.
Embed data quality through data contracts at any point in your pipeline.
# pip install soda-{data source} for other data sources
# pip install soda-{data source} for other data sources
pip install soda-postgres
pip install soda-postgres
# verify the contract locally against a data source
# verify the contract locally against a data source
soda contract verify -c contract.yml -ds ds_config.yml
soda contract verify -c contract.yml -ds ds_config.yml
# publish and schedule the contract with Soda Cloud
# publish and schedule the contract with Soda Cloud
soda contract publish -c contract.yml -sc sc_config.yml
soda contract publish -c contract.yml -sc sc_config.yml
Check out the CLI documentation to learn more.
Check out the CLI documentation to learn more.
How to Automatically Create Data Contracts.
In one Click.
Automatically write and publish data contracts using Soda's AI-powered data contract copilot.

Qualité des données IA basée sur la recherche
Nos recherches ont été publiées dans des revues et conférences de renom, telles que NeurIPs, JAIR et ACML. Les mêmes lieux qui ont fait progresser les fondations de GPT et de l'IA moderne.
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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.
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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
Solutions




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
Solutions
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