data-engineer-pro video for you plan to train a BigQuery ML model and deploy it to a Vertex AI endpoint for real-time inference on streaming data received from
You plan to train a BigQuery ML model and deploy it to a Vertex AI endpoint for real-time inference on streaming data received from multiple vendors. Since this incoming data may include errors, you need an approach that supports real-time processing, data sanitization, and model deployment. What’s the best solution?