BDB POC Approach

This document highlights the high-level scope of a POC that BDB perhaps for an Enterprise Client on the data provided by them. We aim to complete a POC in 4-5 weeks.

Technical Area	Technical Subarea	Comments
Installation or Deployment	On-Prem or Cloud or BDB Cloud	Any of the option chosen by the enterprise.
Data Pipeline	Core Data Pipeline Design Multi Databases (at least 2) Data Preparation Module - Data Quality Data Catalog Feature Business Metrics in BDB Pipeline Testing Framework Version Control in Data Pipeline	Create a dummy file if the customer is not giving the data. How is this important in larger deployments? Test-What is being built?
Data Science Lab	Core Concept of DS Lab to be explained Creation of Models, and Training of Model MLOps flow using Data Pipeline Model as an API Version Control	Base flow - add Customer model if they want to import it.
Core Platform	Data Virtualization - Data Fabric Layer Data Centre User based Data Access Monitoring (Default Prometheus) Auditing SSO/SSL Integration Data as an API	Base Security Flow and creation of Multiple Users in Platform. If Customer asks for this point.
Data Visualization	Governed Dashboards with Drills Intelligent Sheet with write back feature Self Service Reports NLP/ AI Search Mobility	Try to bring in Export features automatically in Dashboard. Dashboards on Mobile browser.