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The Full Array of Big Data Applied to IoT

The Full Array of Big Data Applied to IoT

The Full Array of Big Data Applied to IoT

Episode 28

Big Data is big! It’s another entire industry that’s subsumed by the Internet of Things. There’s a lot to consider but it all starts with your business information requirements – what you get by transforming the raw sensor data you collect into business value you can use. In this episode of the IoT Business Show, I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.

In this episode of the IoT Business Show, I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.

Mark is Founder of Datafloq, a one-stop shop for Big Data. He is an entrepreneur, a public speaker and strategist as well as an author of the book – Think Bigger – Developing a Successful Big Data Strategy for Your Business.

Most of the information in this episode will be a good review of what’s been covered before however an important consideration not yet discussed is the pros and cons of using an industry specific analytics solution. If you believe, like I believe, that one component of an IoT company’s intellectual property is its analytics recipes then it’s important to go beyond business intelligence and customize a solution to provide insights, rather than reports and visualizations.

Here’s What We’ll Cover in this Episode

  • Manual vs automatic triggers.
  • Is real-time analytics, real-time?
  • Choosing your Big Data analytics solution.
  • Real-time analytics and the difference between descriptive analytics, predictive analytics and prescriptive analytics.
  • Discovery analytics.
  • The trend of industry-specific predictive (and prescriptive) analytics.
  • To filter or not to filter sensor data.

Mentioned in this Episode and Other Useful Links

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What’s the difference between Big Data and Big Data for IoT?

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