We give an introduction to the Big Data Refernce Architecture Interface; showcase the generation of python services from it; use cloudmesh to host them on hybrid multicloud environments. We intend to demonstrate how you can contribute while showcasing an AI or data analytics service.

NIST Big Data Refernce Architecture

Reference architectures provide an authoritative source of information about a specific subject area that guides and constrains the instantiations of multiple architectures and solutions. Reference architectures generally serve as a foundation for solution architectures and may also be used for comparison and alignment of instantiations of architectures and solutions. The goal of the NBD-PWG Reference Architecture Subgroup is to develop an open reference architecture for Big Data that achieves the following objectives:

• Provides a common language for the various stakeholders;
• Encourages adherence to common standards, specifications, and patterns;
• Provides consistent methods for implementation of technology to solve similar problem sets;
• Illustrates and improves understanding of the various Big Data components, processes, and systems, in the context of a vendor- and technology-agnostic Big Data conceptual model;
• Provides a technical reference for U.S. government departments, agencies, and other consumers to understand, discuss, categorize, and compare Big Data solutions; and
• Facilitates analysis of candidate standards for interoperability, portability, reusability, and extendibility.

In additin to this effort we will be also focussing on how to use it from python via cloudmesh

The document can be found at: https://laszewski.github.io/project/cloudmesh-nist/