7 Essential Elements in a Real-Time Streaming Analytics Platform

What factors are crucial for a streaming analytics platform?

Published: Feb 18, 2016
Updated: Apr 26, 2016
2 minute read
streaming analytics

<p>business man hand holding a touch pad computer and 3d streaming images</p>

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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