Professional Data Engineer

By Google · Question Mode

QuestionQ47

Preparing and using data for analysis

Your company has hired a new data scientist who wants to conduct complex analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientist mainly wants to create labelled datasets for machine learning projects, together with some visualization work. She says her laptop lacks the power to perform these tasks and that this is slowing her down. You want to help her complete her work.

What should you do?

Explanation

Google Cloud Datalab provides a Jupyter-based environment for data exploration, analysis, and visualization, and deploying it on a Compute Engine VM supplies scalable cloud compute instead of relying on the data scientist’s underpowered laptop. It is suited to working with Google Cloud Storage while supporting the broader interactive analysis and visualization workflow.

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