As a Cloud Engineer at StreamData International, I've worked extensively with the Google Cloud Platform, particularly NoSQL databases like Bigtable. One significant use case was developing a high-scale analytics system for a news media client.
The client’s traditional SQL database was unable to keep up with the vast quantities of data generated and the frequent query demands. We opted for Bigtable due to its impressive capabilities in handling petabytes of data and sustaining high read/write load. We separated data into different column families to maintain efficiency and used filters for specific data retrieval.
Switching to Bigtable dramatically increased our processing speed and system efficiency, significantly improving data analysis operations for the client. We could handle billions of rows of real-time data, enabling the client to gain immediate insights into their end users' consumption patterns, which informed their content development strategies.