Some researchers will want to write their own C3 package and leverage more of the AI Suite. C3 allows researchers to define their own types and methods to integrate their data into the C3 AI Suite along side the Datalake. This allows researchers to use C3 data analytics methods such as timeseries metrics just as they would on other Datalake data. Researchers will also have the ability to share their data with other researchers in the DTI by sharing their package. Adding another researcher's package as a dependency to your package will also bring another researcher's data into your package as well.
Pros:
- Define custom types and integrate new data into the C3 Datalake.
- Share data and methods through C3 packages.
Cons:
- C3 credentials and tenant/tag are required.
Getting Started
Training Curriculum
- DTI Provisioning Guide
- See also: C3 Provisioning Guide
- C3.ai DTI Quickstart Guide
- Get started fast with this Quickstart Guide
- C3 lightbulbAD Package
- Portions of this guide use the lightbulbAD package.
- DTI Guide to C3 Types
- This guide is essential to understanding C3 Types, a central component of the C3 AI Suite.
- DTI Guide to C3 Data Integration
- Learn how to get data into the C3 AI Suite
- DTI Guide to C3 Packages
- Finally, review all the required pieces for a C3 package and where they go.