Lawrence Spracklen shows how a joint solution between Alpine’s Chorus Platform and Cloud Foundry closes the gap between data science insights and business value. He shows an example of creating a machine learning model leveraging data within MPP databases such as Apache HAWQ or Greenplum integrated with Chorus and then deploying this as a microservice within Cloud Foundry as a scoring engine.
Lawrence Spracklen leads engineering at Alpine. He is tasked with the continued development of Alpine’s advanced analytics platform. He brings to Alpine a diverse range of experiences, spanning processor design and research, distributed systems experience, software optimization and multi-thread scalability, security, and hardware accelerator development.
Author: Lawrence Spracklen