A customer needs daily reports of net Google Cloud compute consumption and the users who consumed resources. What is the fastest, most efficient way to generate these daily reports?
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Correct answer: Export Cloud Logging daily to BigQuery and create views filtered by project, log type, resource, and user..
Why this is the answer
Exporting Cloud Logging daily to BigQuery is the most efficient solution. BigQuery is a fully managed, serverless data warehouse designed for large-scale analytics, making it ideal for querying and reporting on log data. Creating views allows for pre-defined, filtered perspectives of the data, simplifying report generation. Filtering Cloud Logging and exporting to CSV is less efficient because CSV files are not optimized for analytical queries and would require manual processing or external tools. Importing filtered data into BigQuery after filtering in Cloud Logging is redundant and less efficient than directly exporting the entire log stream and then filtering within BigQuery. Exporting to Cloud Storage and using Dataprep adds unnecessary complexity and latency for daily reporting when BigQuery can handle the entire workflow natively.
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