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.
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.
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