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Follow on Google News | Guavus Enhances its Reflex Operational Intelligence Platform with Apache Spark and Hadoop YARNReflex 2.0 Ushers in New Era of Operational Intelligence with Support for Real-Time Analysis on Streaming Data from Wide Variety of Sources
By: Guavus Reflex 2.0 continuously correlates, fuses and analyzes data streams with data at rest in silos to provide customers with a 360-degree view of what’s going on in their network. In addition, Reflex supports virtualized and elastic architectures for maximum scalability. The updated platform, which leverages an open source analytics core including Hadoop, Spark and YARN technologies, is integrated with a new class of high value, analytically powered solutions for network operations, marketing, care and security. These solutions, which have data science built in, are pre-integrated and are tailored with specific business problems in mind. The solutions are based on streaming analytics, so users are always assured of getting the most current data for real-time business decision-making. With the addition of Spark and YARN, Guavus fundamentally changes the way enterprises use data to become real-time data-driven enterprises. By analyzing data as it arrives within milliseconds of when it hits the network and within the context of other events in the enterprise, Guavus customers can trigger immediate actions and improve decision-making. For example, businesses can: • Monitor and identify the root cause of anomalous events in their network, and make adjustments or take action as it's happening to improve customer experience • Develop solutions that can be embedded into workflows and business processes to improve CAPEX/OPEX efficiencies • Identify and prevent fraudulent activity in the network as it happens • Create highly targeted, personalized marketing mobile ad campaigns based on subscriber activities “With these significant enhancements to our operational intelligence platform, Guavus continues to set the standard for big data-powered operational intelligence,” End
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