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Google Professional Data Engineer

Google Professional Data Engineer

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You have a collection of historical data stored in Cloud Storage that you need to analyze. You're looking for a solution that can spot invalid data entries and carry out data transformations without the need for programming or SQL expertise. Which of the following options would best meet your needs?

Real Exam



Explanation:

Cloud Dataprep stands out as a user-friendly and efficient data preparation tool designed to clean and transform data without requiring programming or SQL knowledge. It offers a visual interface for exploring and transforming data through intuitive 'recipes,' which include pre-built transformations and error detection functions. These can be applied with minimal effort, and users benefit from real-time previews of their changes. Cloud Dataprep's seamless integration with Cloud Storage facilitates direct access and processing of stored data, eliminating the need for data migration and thereby saving time and reducing costs. Thus, choosing Cloud Dataprep with recipes is an excellent solution for identifying invalid entries and performing data transformations on historical data in Cloud Storage, all without the need for coding or SQL skills.

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