Data

Prepare source data and turn it into model-ready datasets.

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Data workflows in the platform turn source files into datasets that can be used for model training. The flow has two main stages:

  • Ingestion validates source data and creates a datasource.
  • Onboarding turns that datasource into a dataset ready for training.

How data moves through the platform

1

Prepare your data

Organise the source files you want to use for ingestion.

2

Connect storage

Give the platform read-only access to the storage location that contains your source data.

3

Define the schema

Describe how each source column should be interpreted, including field types, designations, and encoding options.

4

Ingest the data

Run ingestion to validate the source data and create or update a datasource.

5

Onboard the dataset

Select features, define the target, and prepare the datasource for model training.