As cited
Copy frozen at (site build).
threat intel
Announcing BigQuery and BigQuery ML operators for Vertex AI Pipelines
Google Cloud announced new BigQuery and BigQuery ML (BQML) operators for Vertex artificial intelligence (AI) Pipelines on April 5, 2022, enabling machine learning (ML) engineers to orchestrate data and model operations without building custom components. The official components support query execution, model creation, evaluation, prediction, and export workflows, with automatic artifact tracking and governance through Vertex ML Metadata. An end-to-end example demonstrates training a document classifier using Dataflow for preprocessing, BQML for embedding generation, and logistic regression for topic prediction.
Why it matters: ML engineers using Google Cloud infrastructure can now operationalize BigQuery and BQML workloads more efficiently within Vertex AI Pipelines, reducing the time spent building custom integrations for model lifecycle automation and governance.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
threat intel
Announcing BigQuery and BigQuery ML operators for Vertex AI Pipelines
Google Cloud announced new BigQuery and BigQuery ML (BQML) operators for Vertex artificial intelligence (AI) Pipelines on April 5, 2022, enabling machine learning (ML) engineers to orchestrate data and model operations without building custom components. The official components support query execution, model creation, evaluation, prediction, and export workflows, with automatic artifact tracking and governance through Vertex ML Metadata. An end-to-end example demonstrates training a document classifier using Dataflow for preprocessing, BQML for embedding generation, and logistic regression for topic prediction.
Why it matters: ML engineers using Google Cloud infrastructure can now operationalize BigQuery and BQML workloads more efficiently within Vertex AI Pipelines, reducing the time spent building custom integrations for model lifecycle automation and governance.
- Source published
- First seen by Cybersecurity Tracker