Google Professional Data Engineer

Google Professional Data Engineer

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Cymbal Retail has accumulated a large amount of data. Analysts and leadership are finding it difficult to understand the meaning of the data, such as BigQuery columns. Users of the data don't know who owns what. You need to improve the searchability of the data.




Explanation:

A. Correct. Tags enable attaching metadata to data assets and entities. This can improve searchability of the data. B. Incorrect. Renaming data columns is not a viable option, because it would affect programmes elsewhere. Data might also be ingested from external sources where you do not have the ability to change the column names. C. Incorrect. Analysts require the data in analytic engines for performance and convenience. Moving the data to files in Cloud Storage is not a good option. D. Incorrect. Adding description columns for each column is not a convenient approach. It increases data in the tables and also requires changes to existing schemas, whether they were internally or externally defined.