Accommodating for projected growth in user engagement, a social network service provider wanted to deploy a more flexible and scalable system. They build a new query service to fetch aggregated values from Bigtable and processed end-user queries and deployed this query service in an engine cluster in the same region as the Bigtable instance to optimize for data access latency. This technology allowed them to easily configure existing data pipelines and build new features faster. The real-time data improved its reliability and accuracy as well.
Submit a Use CaseBack to Use Cases