Google Professional Data Engineer
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Your financial services company, which specializes in managing and analyzing large volumes of financial time-series data, is transitioning to cloud technology. You need to store 50 TB of this time-series data in the cloud. The data is dynamic, with frequent updates and a constant stream of new data being ingested. Additionally, your company aims to migrate its current Apache Hadoop jobs to the cloud in order to derive insights from this extensive dataset. Which Google Cloud product is best suited for storing this type of data?
Explanation:
The correct answer is A: Cloud Bigtable. Cloud Bigtable is specifically designed to handle massive workloads at consistent low latency and high throughput, making it suitable for storing and updating large volumes of time-series data. It supports frequent updates and integrates well with Apache Hadoop, which is essential for migrating existing Hadoop jobs to the cloud. Cloud Bigtable also supports the HBase API, making it easier to transition from existing setups that use Apache HBase.