Data at scale and speed: Real-world use cases

March 07, 2018

Getting value from data at large scale and on a variety of time scales is hard. True, it’s not as hard as it used to be, but you still don’t win by default. Ted Dunning explains why it takes good design, the right technology, and a pragmatic approach.

Using a series of real-world use cases ranging from machine learning pipelines to sensor data processing at the IoT edge to record-setting fraud prevention in finance, Ted demonstrates how you can level up your ability to extract value from data.

More info here