Welcome to the C3 Digital Transformation Institute!

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

1. Introduce researchers of all stripes to the C3 system
2. Help researchers determine what level of training they will need to leverage C3's resources
   
3. Point researchers directly to relevant documentation they will need
4. Provide worked examples of different research workflows and how they may be ported into
   C3's environment, or may use C3's resources

Introduction to the C3

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AI Suite

The C3 AI® Suite is a Java-based data analytics engine designed to make perform the ingestion and analysis of heterogeneous data sources
as painless as possible. C3 provides a system to join The C3 AI Suite joins data from multiple sources into a single unified federated data image. With the federated data image defined, C3 AI 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.

More background on the C3 AI Suite can be found in a one-hour C3.ai DTI™ webinar describing its capabilities here.

C3 AI also supports R and Python Jupyter notebook analysis of the federated data image. These notebooks provide a great way for researchers to analyze data close to where the data is stored. While C3 AI supports many data science capabilities familiar to the researcherresearchers, some expected functionality may be missing.
For these cases, C3 supports implementing AI supports implementing new data processing functions in python Python and javascriptJavaScript.

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

Services available from C3

• Covid-19 Datalake: This unified federated Datalake includes data from numerous sources.
• C3 computing platform:

How does C3 differ from traditional HPC systems?

• Traditional HPC systems are similar to Hardware as a Service (HaaS), while C3 is more like a Platform as a Service (PaaS).
  Users are encouraged to work within the platform's API to achieve the best performance out of C3.
• C3 offers a state-of-the-art data integration system as the basis for all Data Science operations.
  This is in contrast to HPC systems where all components of data management and the analysis pipeline must be installed and managed independently.

What types of software can be run on C3?

• Nearly any python module may be installed and used through pip or conda
• Nearly any R package may be installed and used within the R juptyer environment.

What types of software cannot be run on C3?

• General binary executables are not supported by C3 out of the box.
• MPI-based python software
• Packages which must be built from scratch on the platform, or require specific hardware drivers
• Python modules which require special built binaries may not run as well.

How do I get started?

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.

Level 1: Use COVID-19 Datalake Only

For many researchers, they will simply want to leverage the C3 COVID-19 Federated Data Image.

Pros:

• Easy to integrate into existing scientific workflows and run on existing scientific computational hardware
• Publicly available API means no credentials are needed to access the data
• Assuming you have access to your own computational resources, you don't have to worry about allocations
  on C3's platform.

Cons:

• All data used from the Datalake must be streamed to wherever you're processing data
• Performance benefits from working with the Datalake using C3 will not be available.

Level 2: GUI based data analysis on C3

Level 3: Utilize C3 AI Suite and Jupyter notebook analysis

Level 4: State-of-the-art ML workflows requiring special ML models and/or GPUs

Accessing C3

C3 Allocation Management

Essential Concepts

C3 is quite different from traditional HPC resources.

C3 Types

Canonicals, Transforms, and Data Integration

Timeseries Analysis and Metrics

Machine Learning Pipelines

Jobs

Help! This guide doesn't solve my problem!

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If you have any questions, feel free to contact the C3.ai DTI team at the email help@c3dti.ai.

C3 AI Suite Guides

We have prepared several self-study guides based on your level of understanding C3 AI Platform:

1. DTI Readiness Checklist: Before you go to any guides below, please check if you have C3 AI Suite Access with this Readiness Checklist.
2. DTI C3 AI Suite Quickstart Guide: If this is your first time using C3 AI Suite, this is the guide you are looking for. This quick start guide will provide you the core concepts about the platform and some visual (images and videos) guides to provide a basic understanding of the platform.
3. C3.ai DTI Tutorial to C3 Types: This is a C3.ai DTI tutorial guide for essential concepts about C3 Types. This is one of the most important concepts in using the C3 AI Suite. The C3 Type is similar to the concept of the "class" in Java and Python.
4. DTI Guide: C3 Expressions: This is a C3.ai DTI guide to understanding C3 Expressions which appear throughout the platform.
5. C3.ai DTI Guide for Jupyter Notebook on C3 AI Suite: If you have had some basic understanding of the C3 AI Suite and want to use the Jupyter notebook on C3 AI Suite, those two basic guides will help you to get started. The Python Action Runtime setup guide is also included.
6. DTI Guide: Python on C3 AI Suite: This guide describes some basic details of using Python on the C3 AI Suite including how to define Python runtime environments.
7. C3.ai DTI Data Integration: This will be the guide if you want to integrate data into C3 AI Suite. It includes Official C3 AI documentation for data integration, detailed integration structural explanation, and a recorded demo video for data integration. This guide assumes some basic understanding of the C3 AI Suite and C3 types.
8. C3.ai DTI Guide to Machine Learning: This guide will provide you some basic knowledge on how to start Machine Learning on C3 AI Suite. It provides you the substrate/concrete C3 Types that you will frequently use on the platform, along with a couple of usage examples. This guide assumes some basic understanding of the C3 AI Suite and C3 Types.
9. C3.ai DTI RESTful API Documentation: This guide provides a basic understanding of the C3 RESTful APIs that are automatically generated when you deploy a C3 Package to your C3 Tag.
10. C3.ai Tips and Tricks: This guide provides a number of useful tips and tricks for working with the C3 platform.
11. DTI Platform Resource Management Guide: This DTI managed guide instructs how to manage your cluster resources. Especially useful for custom Jupyter sessions.
12. C3.ai DTI Training Videos: If you are a visual learner and prefer to learn the basic concepts with a lecturer, feel free to check these training videos covering topics selected by the C3.ai DTI DevOps staff. These are a collaboration between the C3.ai DTI team and Armaan Butt from C3 AI and go through various aspects of development and usage on the C3 AI Suite. 
13. List of Additional Available Training Resources: There are still several additional training materials that have not been listed above. Please visit this page for more details about those trainings.
14. Official C3 AI Training: If you would like to go to official C3 AI training, here is the link for you. There are multiple online courses and each will take about a week of working time to finish, but these can be really helpful for you to understand their platform and details.

Other Computational Resource Guides

We also have additional supplemental computational resources for supporting, including Azure Clouds and Supercomputing facilities:

1. Introduction to Azure Cloud: This page will present you with information related to Azure Cloud. For more detail please contact to DTI Support Staff so that we can provide you a one-on-one Zoom meeting.
2. NCSA Blue Water Resource Summary: This page is the system summary page for Blue Water's High-Performance Computing Resources. 
3. UCB NERSC Resource Summary: This page is the resource summary page for National Energy Research Scientific Computing Center's (NERSC) High-Performance Computing Resources.

Feedback

If you feel aspects of this guide are incomplete or Inaccurateinaccurate, please send an email to help+c3ai@ncsa.illinois.edu with the
issue to help@c3dti.ai with the issue or suggestion, and we will work to incorporate it to make the documentation better. We appreciate the new perspective
More perspective more eyes can bring to a software project!

Your DTI Team

NCSA

Jay Roloff - Executive Director

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Yifang Zhang - Data Analyst

Darren Adams - Senior Research Programmer

Weddie Jackson - Research Programmer

Bruno Abreu - Research Programmer

Berkeley

Larry Rohrbach - Executive Director

Eric Fraser - Chief Technology Officer

Greg Merritt - DevOps Lead

Matt Podolsky - Managing Director of Research Technology

Contact Us

If you have some additional questions or need that is not covered by this series of guides, please feel free to contact the DTI team at the email help@c3dti.ai. We can provide some help with your questions via help desk tickets and/or Zoom meetings.

Legal Notice

C3 AI, C3.ai, C3DTI, C3.ai DTI, C3.ai Digital Transformation Institute, and the C3.ai logos are trademarks or registered trademarks of C3.ai, Inc. in the United States and/or other countries. All other product names, trademarks, and registered trademarks are the property of their respective owners.