Dirty Data – Preventing the Pollution of Your IoT Data Lake

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We’ve all heard it before: garbage in – garbage out. This is especially problematic with IoT data where dirty data, data that is well-formed but wrong, can cause a butterfly effect chain reaction, polluting the data lake, resulting in bad decisions and bad business. In this episode of the IoT Business Show, I speak with James Branigan about what bad data is, how to identify it, stop it and then deal with the aftermath.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast80notes

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