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Answer: Employ Cloud Dataprep using recipes for error detection and data transformation.
Cloud Dataprep stands out as a user-friendly and efficient tool for data preparation, enabling users to clean and transform data visually without any programming or SQL knowledge. It offers an intuitive interface with 'recipes' that include pre-built transformations and functions for error detection, which can be applied effortlessly. Users benefit from real-time previews of transformations, ensuring immediate feedback on the changes made. Furthermore, Cloud Dataprep's seamless integration with Cloud Storage facilitates direct access and processing of data stored there, eliminating the need for data migration and thereby saving time and reducing costs. Thus, Cloud Dataprep with recipes is the optimal choice for analyzing historical data in Cloud Storage, especially when aiming to identify invalid entries and perform transformations without programming or SQL skills.
Author: LeetQuiz Editorial Team
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You have a collection of historical data stored in Cloud Storage that requires analysis. Your goal is to find a solution capable of identifying incorrect data entries and transforming the data, all without the need for programming or SQL expertise. Which of the following options best meets your needs?
A
Leverage Cloud Dataflow with Beam to detect errors and transform data.
B
Employ Cloud Dataprep using recipes for error detection and data transformation.
C
Opt for Cloud Dataproc with a Hadoop job to identify errors and transform data.
D
Use BigQuery's federated tables with queries to detect errors and transform data.
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