Google Cloud Professional Data Engineer Practice Exam 2025 – Complete Preparation

Question: 1 / 400

What is one key benefit of using BigQuery for data analytics?

Cost-effectiveness

Scalability

Scalability is a fundamental benefit of using BigQuery for data analytics. BigQuery is designed to handle vast amounts of data across many petabytes, making it ideal for large-scale data processing needs. As data volumes grow, BigQuery can seamlessly scale to accommodate larger datasets without users needing to manage the underlying infrastructure.

This scalability allows organizations to run complex queries on huge datasets quickly and efficiently, facilitating timely insights and decision-making. Additionally, users do not need to worry about performance degradation as data size increases, which is a common challenge with traditional data warehousing solutions.

BigQuery's serverless architecture further enhances this benefit, as it automatically manages resources and optimizes workloads without any manual intervention, leading to a more streamlined and efficient data analytics process.

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Increased manual data handling

Complex infrastructure management

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