Chapter 9Deploying Machine Learning Pipelines

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

  • 3. Operationalizing machine learning models
    • ✔ 3.2 Deploying an ML pipeline. Considerations include:
      • Ingesting appropriate data
      • Retraining of machine learning models (Cloud AI, BigQuery ML, Kubeflow, Spark ML)
      • Continuous evaluation

image Data engineers are increasingly working with machine learning (ML) pipelines. In this chapter, we will review the structure of ML pipelines and describe several ways to implement those pipelines in GCP.

ML pipelines include several stages, beginning with data ...

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