There are few things in today’s technology landscape that promise to be more transformational than the emergence of an estimated 20 billion IoT edge devices by 2020.One of the well understood impacts of the edge as it emerges is that it will unleash a data tsunami. The evidence is already out there—a connected car can produce up to 5 terabytes of data hourly, an oil and gas drilling rig can produce 7 to 8 terabytes of data daily. Waiting for all of this data to be sent to the cloud and acted upon won’t cut it for many applications in industrial or consumer domains. Even for edge analytical applications, conventional big data architectures that involve forwarding everything to the cloud to be stored and analysed doesn’t make sense—what you likely need are Machine Learning and streaming analytics capabilities at the edge.