Full access to the Datalake offers all stored COVID-19 Datalake data while allowing the researcher
to use whatever analysis framework they so choose with their own compute resources. This level
offers the fastest startup time while ensuring access to all data. Once you learn how to query data
in C3, that data can be streamed to your compute resources where you can use your language and
tools of choice.

Pros:

• Full access to C3 Datalake.
• Ability to use any language and tools of your choosing.

Cons:

• C3 credentials and tenant/tag required.
  
• All data must be streamed to your local compute resources.

Necessary Resources/Training:

If your research belongs in this category, finishing the necessary training below is enough to get started.

• C3 Getting Started Guide
  • Not all sections of the Getting Started Guide are necessary.
    We list the necessary sections here:
    • Introduction to C3 AI Suite

    • Architecture

      • Basics
      • Understanding Clusters, Tenants, and Tags
      • Model-driven Architecture
        • Types

        • Fields and Methods

        • Type Inheritance

    • Time Series Data Section
    • Metrics Section
• DTI Shallow C3 Primer
  
  • This guide gives a quick hands-on introduction to how researchers can fetch and
    analyze data from the C3 Datalake.

Optional Resources/Training:

• c3python module for easy python interactivity.
• DTI Guide to utilizing C3 Documentation

Example Workflows

• Cases Over Time (C3 connector) example
• Vaccine Listing (C3 connector) example