Data preparation for streaming data
Jim Harris considers the technical infrastructure challenges of data preparation for streaming data.
Jim Harris considers the technical infrastructure challenges of data preparation for streaming data.
In the field of machine learning, online learning refers to the collection of machine learning methods that learn from a sequence of data provided over time. In online learning, models update continuously as each data point arrives. You often hear online learning described as analyzing “data in motion,” because it
Jim Harris discusses how the lines between data management and analytics are fading.