Data Center Migration. BigQuery provides a front-end for analysis and a back-end that can read from several sources including BigQuery tables, but also CSV files in Cloud Storage. Cloud Dataproc is a managed service for Hadoop clusters, useful for processing data and returning it to Cloud Storage or BigQuery. The first step is migration from Data Center processing to Cloud Data processing. BigQuery replaces many tools and custom applications in data center, while Cloud Dataproc replaces Hadoop. Cloud Bigtable is a drop in replacement for Hbase. Machine learning is available from Cloud Dataproc using APIs, such as natural language processing or NLP. When ready, the business can move from cluster-based managed service to a serverless service, and access the full benefits of machine learning. Machine learning provides value through tagging of unstructured data, which makes it useful for specific purposes. Machine learning can also be used to recognize items and for prediction. Machine learning is more of a focus of the data engineering track rather than the cloud architect track. But it's still part of the infrastructure of a cloud architect, and it might be used for finding solutions. So, you should be familiar with the services and what they do.