Question 74
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?
- A. Cloud Bigtable
- B. Google BigQuery
- C. Google Cloud Storage
- D. Google Cloud Datastore
https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-bigtable
Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
Bigtable is an excellent option for any Apache Spark or Hadoop uses that require Apache HBase. Bigtable supports the Apache HBase 1.0+ APIs and offers a Bigtable HBase client in Maven, so it is easy to use Bigtable with Dataproc.