  Over the last several years, the computation landscape for conducting data
analytics has completely changed. While in the past, a lot of the activities
have been undertaken in isolation by companies, and research institutions,
today's infrastructure constitutes a wealth of services offered by a variety of
providers that offer opportunities for reuse, and interactions while leveraging
service collaboration, and service cooperation.
  This document focuses on expanding analytics services to develop a framework
for reusable hybrid multi-service data analytics. It includes (a) a short
technology review that explicitly targets the intersection of hybrid
multi-provider analytics services, (b) a small motivation based on use cases we
looked at, (c) enhancing the concepts of services to showcase how hybrid, as
well as multi-provider services can be integrated and reused via the proposed
framework, (d) address analytics service composition, and (e) integrate
container technologies to achieve state-of-the-art analytics service deployment
