Google Professional Machine Learning Engineer
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You are tasked with selecting a data exploration tool for a project that involves analyzing large datasets with complex queries. The project requires a solution that is cost-effective, scalable, and can integrate seamlessly with other Google Cloud services for advanced analytics and machine learning. Given these requirements, which of the following is the key advantage of utilizing BigQuery for this data exploration project? Choose the best option.
A
Integrated data cleaning tools that automatically prepare data for analysis without additional configuration.
B
The lowest storage costs available in the market, making it the most economical choice for large datasets.
C
High scalability and fast query performance, enabling the analysis of petabytes of data in seconds without the need for infrastructure management.
D
Built-in machine learning models that can be directly applied to the data without any additional setup or coding.
E
Both A and D, as BigQuery provides comprehensive tools for both data cleaning and machine learning within the same platform.