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Analytics as a part of your big data strategy gives you the insight that powers your business. Applying the analytics in real time applications, such as fraud detection, risk/portfolio management or regulatory compliance, will maximize the value of your analytics and automate...

The real-time revolution has begun, and businesses across all industries are finding new and innovative ways to derive instant value on the vast volumes of streaming data coming into their organizations.Whether it’s to enhance business processes through machine learning and AI, provide better...

Big data has been around for a while, and while many people and companies understand the benefits of utilizing big data, they are increasingly running into a problem: traditional big data just isn't fast enough. Answers and insights are good in theory,...

For Building streaming data applications that can manage the massive quantities of data generated from mobile devices, M2M, sensors, and other IoT devices is a big challenge many organizations face today.Traditional tools, such as conventional database systems, do not have the capacity to ingest...

Develop Apps for Fast Data The need for fast data applications is growing rapidly, driven by the IoT, the surge in machine-to-machine (M2M) data, global mobile device proliferation, and the monetization of SaaS platforms. So how do you combine real-time, streaming analytics with real-time...