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Overview
Aporia monitors your models by connecting directly to your data. If you don't store your predictions yet, see our guide on Storing Your Predictions.
Aporia currently supports the following data sources:
- Amazon S3
- Athena
- BigQuery
- Databricks
- Glue Data Catalog
- Google Cloud Storage
- PostgreSQL
- Redshift
- Snowflake
- Azure Blob Storage
- MSSQL
If your storage or database are not shown here, please contact your Aporia account manager for further assistance.
Connecting to a data source begins with configuring its connection details. For example, to connect to a Postgres database, we can create a data source using the following details:
url="jdbc:postgresql://<POSTGRES_HOSTNAME>/<DBNAME>",
user="<DB_USER>",
password="<DB_PASSWORD>"
Please refer to the documentation page of the relevant data source for a complete list of requirements and configuration options.
After creating a data source, we can create a model version and link our data. This process consist of two steps:
- 1.Linking a dataset - define a query to retrieve your data.
- 2.Mapping model schema - map your model's raw inputs, features, predictions, and actuals. The fields you can map are from the columns you retrieved.
The ground truth can be
NULL until it actually has value, that's okay.Last modified 5mo ago