What would be the preferred destination architecture on Google Cloud?

While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues .

What would be the preferred destination architecture on Google Cloud?
A . Migrate to Bigtable which provides high throughput reads and writes.
B . Migrate to Cloud Spanner as a globally scalable SQL database.
C . Migrate to BigQuery as a central data warehouse.
D . Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and
SQL Server – all of the customer’s SQL databases can be accommodated here.

View Answer

Answer: C

Explanation:

BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.