  Data forms a key component of any enterprise. The need for high quality and
easy access to data is further amplified by organizations wishing to leverage
machine learning or artificial intelligence for their operations. To this end,
many organizations are building resources for managing heterogenous data,
providing end-users with an organization wide view of available data, and
acting as a centralized repository for data owned/collected by an organization.
Very broadly, we refer to these class of techniques as a "data hub." While
there is no clear definition of what constitutes a data hub, some of the key
characteristics include: data catalog; links to data sets or owners of data
sets or centralized data repository; basic ability to serve / visualize data
sets; access control policies that ensure secure data access and respects
policies of data owners; and computing capabilities tied with data hub
infrastructure. Of course, developing such a data hub entails numerous
challenges. This document provides background in databases, data management and
outlines best practices and recommendations for developing and deploying a
working data hub.
