A robust advertising technology platform, Rubicon— also one of the biggest cloud and Big Data computing systems in the world—leverages over 50,000 algorithms and analyzes billions of data points in real-time to deliver the best results for sellers and buyers of advertising. And with over 65,000+ CPUs and 5.0 Petabytes of storage working at 100 gigabits data/second, they needed an efficient solution that would permit adaptive scaling without the added cost.
Maintain data, system, and transactional security through machine-learning-ready streaming analytics.
Lower the Total Cost of your real-time operations with monitoring applications that can be built fast and updated dynamically.
Maintain personnel efficiency through dynamic staffing and real-time, adaptive scheduling .
Maintain customer loyalty through personalized campaigns and location-based microservices.
Streaming analytics helps brick-and-mortar retail stores track the location of their customers and match it with real-time behavioral data and historical customer data in order to determine:
Streaming Analytics correlates real-time data with purchase history, current seasonal trends, inventory status, current promotions and cumulative data on similar customers. In combination with data mining and machine learning, SA elevate the product recommendation process, to:
Streaming analytics integrates user, network, and historical data and dynamically matches it against market penetration, real-time trends, purchase behavior, and available budgets, to:
Guavus SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike.
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