Google Cloud Professional Data Engineer — Question 296

Your financial services company is moving to cloud technology and wants to store 50 TB of financial time-series data in the cloud. This data is updated frequently and new data will be streaming in all the time. Your company also wants to move their existing Apache Hadoop jobs to the cloud to get insights into this data.
Which product should they use to store the data?

Answer options

• A. Cloud Bigtable
• B. Google BigQuery
• C. Google Cloud Storage
• D. Google Cloud Datastore

Correct answer: A

Explanation

Cloud Bigtable is designed for handling large amounts of data with low latency, making it ideal for time-series data that is frequently updated. Google BigQuery, while great for analytics, is not optimized for fast streaming updates. Google Cloud Storage is suited for object storage but lacks the capabilities needed for time-series data management. Google Cloud Datastore is a NoSQL database not optimized for large-scale time-series data like Cloud Bigtable.