New momentum for Google’s web-scale analytics services within the mobile games industry
More and more, developers and enterprises need authentic streamlined capabilities to focus on core of their business. The stakes are huge in terms of productivity, performance and competiveness.
When it comes to mobile games
industry, the emerging reality is that, mobile games attract millions of
players and generate terabytes of game-related data in real-time.
As you can imagine, this
places abnormal pressure on the infrastructure powering these games and
requires scalable data analytics services to provide timely, actionable
insights in a cost-effective way.
Henceforth, for those who use Google’s web-scale analytics services to create personalized experiences for their players, the new reference architecture describes how you can collect, archive and analyze vast amounts of gaming telemetry data using Google Cloud Platform’s data analytics products. The architecture for analyzing mobile game events focuses on Batch processing and Real-time processing.
Henceforth, for those who use Google’s web-scale analytics services to create personalized experiences for their players, the new reference architecture describes how you can collect, archive and analyze vast amounts of gaming telemetry data using Google Cloud Platform’s data analytics products. The architecture for analyzing mobile game events focuses on Batch processing and Real-time processing.
A key benefit of this
architecture is that you can write your data pipeline processing once and
execute it in either batch or streaming mode without modifying your codebase.