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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...

Fast Data requires systems that deliver real-time interaction and decisions to create business value. Big Data is historical data that requires storage, curation and deep analytics. Together, Fast Data and Big Data empower enterprises in financial services, telecoms, advertising technology, retail, smart...

As the IoT continues to evolve, large vertical capabilities are converging to form an unexpected—and strong—new reference architecture for this emerging network. Machine-to-machine communications, big data, cloud computing, distributed systems, networking, mobile and telco, apps, and...