Home - waidyanatha/dongcha GitHub Wiki

Dòngchá: situational-awareness automation platform

  • Critical thinking and problem-solving
  • Data analysis and interpretation
  • Conceptual modeling and simulation
  • Argumentation and persuasion

Installation instruction

It is an Object Relational Mapping (ORM) designed to manage data and model pipelines. Builds on the principles of perceiving the data, and comprehending the information to make sense for projecting the future status (decisions and actions). The platform builds on Apache Spark and Python integrating with vector, sql, nosql, and storage (cloud/on-premise) environments. Essentially a platform for serving enterprise AI/ML and augmented BI full-stack solutions.

  • Descriptive - what is happening?
  • Diagnostic - why is it happening?
  • Predictive - What is likely to happen?
  • Prescriptive - what might be done?
  • Cognitive - what is the behavior?

Dòngchá will support an organization to mature from descriptive to cognitive analytics. For such data being the key ingredient, the dongcha core components offer:

  1. Wrangler - ETL pipelines
  2. Mining - Statistical. Artificial Intelligence (AI), and Machine Learning (ML) modelling
  3. Visuals - warehouses and interactive dashboards with visual analytics for Business Intelligence (BI)

Each of them is an independent component with a set of domain and sector-specific modules and common utility libraries. Additionally, each core component offers a set of notebooks with sample_data to understand the functions and pipelines offered through them.