You have been given a grant as part of the new C3 Digital Transformation Institute (DTI)!
To make the start of your DTI experience as painless as possible, we have assembled a set of resources to
C3 is a Java-based data analytics engine designed to make the ingestion and analysis of heterogeneous data sources
as painless as possible.
C3 provides a system to join data from multiple sources into a single unified federated data image.
With the federated data image defined, C3 then provides an API to access that data, and in the case of time-series data,
perform numerous transformations and computations all producing normalized time-series data at regular intervals.
While C3 supports many data science capabilities familiar to the researcher, some expected functionality may be missing.
For these cases, C3 supports implementing new data processing functions in python and javascript.
Like any other API porting your own workflows will take some care and time to learn properly.
Please leverage this guide to make porting your
Use this guide to determine what training you need to utilize C3's resources effectively. We have separated
researchers into four levels based on what level of interaction with C3's resources they require. We include
basic examples of workflows which might fall into that level, pros and cons of operating on that level, and
a list of training resources we recommend resources researchers completing on the DTI training environment
before starting their C3 allocations. This will ensure researchers will be able to use their allocation as
efficiently as possible.
Examine the high level overviews of each level below, then click the section titles to go to more in-depth
discussions related to that level, like the recommended training.
For many researchers, they will simply want to leverage the C3 COVID-19 Federated Data Image.
Pros:
Cons:
C3 is quite different from traditional HPC resources.
No problem! You're not alone! Please send an email to help+c3ai@ncsa.illinois.edu with a description of your issue
and one of our team will work with you to resolve your issue.
If you feel aspects of this guide are incomplete or Inaccurate, please send an email to help+c3ai@ncsa.illinois.edu with the
issue or suggestion, and we will work to incorporate it to make the documentation better. We appreciate the new perspective
More eyes can bring to a software project!
Jay Roloff - Executive Director
Matthew Krafczyk - Data Analyst
Yifang Zhang - Data Analyst
Larry Rohrbach - Executive Director
Eric Fraser
Greg Merritt
Matt Podolsky