Announcing BigQuery and BigQuery ML operators for Vertex AI Pipelines

Developers (especially ML engineers) looking to orchestrate BigQuery and BigQuery ML (BQML) operations as part of a Vertex AI Pipeline have previously needed to write their own custom components. Today we are excited to announce the release of new BigQuery and BQML components for Vertex AI Pipelines, that help make it easier to operationalize BigQuery and BQML jobs in a Vertex AI Pipeline. As official components created by Google Cloud, using these components will allow you to more easily include BigQuery and BigQuery ML as part of your Vertex AI Pipelines. For example, with Vertex AI Pipelines, you can automate and monitor the entire model life cycle of your BQML models, from training to serving. In addition, using these components as part of a Vertex AI Pipelines provides extra data and model governance, as each time you run a pipeline, Vertex AI Pipelines tracks any artifacts produced automatically.

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