model_garden/notebooks/official/feature_store

Streaming ingestion SDK

Learn how to ingest features from a `Pandas DataFrame` into your Vertex AI Feature Store using `write_feature_values` method from the Vertex AI SDK.

The steps performed include:

- Create `Feature Store`
- Create new `Entity Type` for your `Feature Store`
- Ingest feature values from `Pandas DataFrame` into `Feature Store`'s `Entity Types`.

   Learn more about Vertex AI Feature Store.

Online feature serving and fetching of BigQuery data with Vertex AI Feature Store

Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of feature values serving and fetching user journey.

The steps performed include:

- Provision an online feature store instance to host and serve data.
- Register a `BigQuery` view with the online feature store instance and set up the sync job.
- Use the online server to fetch feature values for online prediction.

   Learn more about Vertex AI Feature Store.

Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store

Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of features serving and vector retrieval user journey.

The steps performed include:

- Provision an online feature store instance to host and serve data.
- Create an online feature store instance to serve a `BigQuery` table.
- Use the online server to search nearest neighbors.

   Learn more about Vertex AI Feature Store.

Using Vertex AI Feature Store with Pandas Dataframe

Learn how to use `Vertex AI Feature Store` with pandas Dataframe.

The steps performed include:

- Create Featurestore, entity types and features.
- Ingest feature values from Pandas DataFrame into Feature Store's Entity types.
- Read Entity feature values from Online Feature Store into Pandas DataFrame.
- Batch serve feature values from your Feature Store into Pandas DataFrame.


- Online serving with updated feature values.
- Point-in-time correctness to fetch feature values for training.

   Learn more about Vertex AI Feature Store.

Online and Batch predictions using Vertex AI Feature Store

Learn how to use `Vertex AI Feature Store` to import feature data, and to access the feature data for both online serving and offline tasks, such as training.

The steps performed include:

- Create featurestore, entity type, and feature resources.
- Import feature data into `Vertex AI Feature Store` resource.
- Serve online prediction requests using the imported features.
- Access imported features in offline jobs, such as training jobs.
- Use streaming ingestion to ingest small amount of data.

   Learn more about Vertex AI Feature Store.