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36 lines
1.7 KiB
Markdown
36 lines
1.7 KiB
Markdown
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[Online feature serving and fetching of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_optimized.ipynb)
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```
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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.
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The steps performed include:
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- Provision an online feature store instance to host and serve data.
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- Register a `BigQuery` view with the online feature store instance and set up the sync job.
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- Use the online server to fetch feature values for online prediction.
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```
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Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).
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[Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_vector_retrieval_bigquery_data_with_feature_store.ipynb)
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```
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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.
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The steps performed include:
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- Provision an online feature store instance to host and serve data.
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- Create an online feature store instance to serve a `BigQuery` table.
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- Use the online server to search nearest neighbors.
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```
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Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).
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