7 Essential Elements in a Real-Time Streaming Analytics Platform

What factors are crucial for a streaming analytics platform?

Feb 18, 2016
3 minute read
7 Essential Elements in a Real-Time Streaming Analytics Platform

streaming analytics

Sources of real-time data are exploding. For starters, there’s the IoT: Gartner estimates there will be 25 billion things connected to the Internet by 2025, and that includes everything from industrial machinery to mobile phones, smart thermostats, and wearable fitness trackers. There’s also growing amounts of data from clickstreams and social media, as well as e-commerce. Download report.

To get a handle on such data, businesses often turn to streaming analytics software. But these platforms face several challenges, including processing massive amounts of data, scaling, integration with existing IT infrastructure, and data visualization.

In this white paper, you will learn what to look for in a streaming analytics solution, including:

  • Open-source vs. proprietary frameworks.
  • How to ensure integration with a Big Data stack,
  • Considerations for scaling out, data visualization, and application development.









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Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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