Dorieh Data Platform

Contents

• Introduction
  • Introduction to Data Platform
  • Building Blocks
  • Working with NSAPH containerized apps
  • Deployment
  • Terms and Acronyms
  • Building Platform documentation
• What is Data Platform
  • Why we need a Data Platform
  • Architecture
  • Supported Programming Languages and Tools
  • Development Mode
  • Where it can be deployed
• Data Domains
  • Health
  • Climate
  • Exposure (from Atmospheric Composition Analysis Group of Washington University in St. Louis)
  • Environmental Protection Agency (EPA) data
  • Demographics
• Data Processing Pipelines
  • Introduction
  • Running Workflows
  • Testing workflows
  • Installing Python dependencies
  • Published and tested workflows
  • Developing your own workflows
• Python Packages
  • General purpose utilities
  • Data platform components
  • GIS utilities
  • Health data manipulation tools
  • EPA tools
  • Raster data tools (climate and exposure)
  • Census data manipulation tools
• Examples
  • A CWL workflow example: aggregating a climate variable
  • How to query the database
  • Querying Medicaid Data
  • Monitoring database activity using Dorieh tools
• Data Platform Internals
  • Dorieh Core Data Platform
  • Dorieh Deployment
  • Managing database connections
  • Project (Directory) Loading Utility
• Database Testing Framework
• Adding more data
  • What data are you adding?
  • Data modelling vs data introspection
  • Adding new data domain
  • Adding data to existing table
  • Creating new single table
  • Automatically ingesting multiple files from a file system
• Executing containerized apps
  • Introduction
  • Prerequisites
  • Using pipeline generator
  • Execute generated pipeline
  • Appendix 1: Metadata description
• Terms and Acronyms
• Indices

Documentation Indices

• General Index

• Python Module Index