Publishing Batches Of Events
Last updated
Last updated
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Fiddler has a flexible ETL framework for retrieving and publishing batches of production data, either from local storage or from the cloud. This provides maximum flexibility in how you are required to store your data when publishing events to Fiddler.
The following data formats are currently supported:
pandas DataFrame objects (pd.DataFrame
)
CSV files (.csv
),
Parquet files (.pq
)
The following data locations are supported:
In memory (for DataFrames)
Local disk
AWS S3
Once you have a batch of events stored somewhere, all you need to do to publish the batch to Fiddler is call the Fiddler client's fdl.Model.publish
function.
After calling the function, please allow 3-5 minutes for events to populate the Monitor page.
Need help? Contact support.