This guide serves as a quick reference on most common terms that users can encounter when using RapidCanvas user interface (UI) and notebook interface. Some most common terms in Rapidcanvas UI include:


Dashboard allows you to create, edit and delete your current projects. The dashboard has a list of all the recent projects that are created within your tenant.


Workbench in RapidCanvas allows you to see your projects and datasets in an interactive workspace. Data scientists, analysts, and data enthusiasts can use Workbench to visualize their data, build complex datasets, and collaborate with others.


When you click the Projects tab within the Workbench tab, you will be able to access all of the projects you are involved in. Go to Dashboard to view all your recent projects.


A dataset is a data file or a collection of files you input while creating a project. A dataset is organized in rows and columns. You can add multiple files as a dataset in your project. RapidCanvas currently supports the use of CSV files as datasets.


RapidCanvas’ library includes custom-built templates and solutions that you can reuse without requiring any coding skills.


RapidCanvas Library provides built-in templates for quick prototyping and allows you to create your templates from scratch or from existing templates. It helps you to create a specific solution by allowing the input of data from multiple sources and transforming it into a model that can be saved and used in several applications.


Logs help you to get a full picture of your processes by identifying all of the API calls, requests, and messages that occur during your workflow. You can even view the complete data for each request or message within the Logs.


Token allows you to authenticate the notebook to connect with RapidCanvas. It allows you to securely communicate with the RapidCanvas server so that you can log into your account and access the data.


Environment provides the required infrastructure to create and manage a data project. Depending on the scale of the project, you can customize the environment. In RapidCanvas, you can create your custom environment by selecting the appropriate environment type from the Environment Type drop-down menu. If no environment is selected, the default environment is where the project is built.


Transform is a process of data modification, structuring, and processing to make it more convenient for creating the desired recipe. With RapidCanvas, you can choose from a wide range of transformation options to process the data and make a recipe.


Recipe is a list of ordered transformations that are applied to data at different stages of the data pipeline. A recipe can be viewed as a series of transformation steps applied to the datasets in order to achieve a desired outcome.


Canvas in RapidCanvas is a directed acyclic graph (also called DAG) that allows business users to create visualizations and dashboards with datasets. While building a model in Canvas, you can view different shapes that represent different stages of the process. The square denotes inputting the datasets, the circle denotes the transform and recipe, and the diamond denotes the output. This allows users to explore data, build predictive models, analyze insights, and visualize their findings through beautiful and interactive visualizations.


Scenario refers to a set of instructions that runs a pipeline (or a recipe) only when certain conditions are met. Data Scientists can set a scenario that allows them to run a specific use case to predict machine learning without having to wait for all of the data sets and pipelines to be finished. It works as a trigger that ensures that given condition(s) is/are true and the workflow executes. This will make your workflow faster and reduce the number of steps.


In RapidCanvas, segments refer to the act of breaking down a large collection of data into smaller groups that are more manageable. Segmenting makes it easier to understand and work with data, especially large and complex data sets.


A tenant is a workspace for a group of users to work. Data and projects inside a tenant are only accessible to the users who are part of the tenant. Typically, organizations with large number of projects have multiple tenants to organize streams of AI/ML Problems they solve.


Anyone with access to the web or notebook interface of RapidCanvas is a user. There are two types of users: Admin and DataApp-View users. Admin users have a privilege to invite other team members to join the tenant. All users get access to RC by invitation to join a tenant. All users can create and collaborate on projects in tenants to which they have access. A user can be part of multiple tenants with different roles. The users with DataApp-View role can only view the DataApp created in a project.


Any project related asset such as models that are built by users can be saved as artifacts. These artifacts can be used across projects. Typically, generic and reusable assets are saved as artifacts and are used in multiple projects. Creating, saving and accessing artifacts is available only to notebook users currently.


A predictive model is built for classification and regression problems to forecast the actionable insights or future outcome using the raw data. All the models built using different datasets are stored in the Models catalog.

Data pipeline