Glossary

Common terms and. their definitions.

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Data Explorer (DEX) 
DEX is an automatic data visualization module that lets users explore their data visually using a UI.
Space
Spaces are virtual workspaces that contain projects. Spaces give you the ability to share multiple projects with a team in one central location. Read more: Spaces & projects​
Project 
Projects live inside spaces and contain all of your notebooks and data. They can be shared with other users in your organization or they can be private. Read more: Spaces & projects​
Notebook
A notebook is a place where you can mix documentation, executable code, and analytic visualization in one easily accessible document. Notebooks empower users to gain insight from their data and communicate it effectively with the help of notes, charts, tables and code. 
Folder
A Folder is a collection of files within a project.
Dataset
A dataset is repository of files that allows users to upload and store large files without directly loading them into the kernel. This allows users to selectively load large files into the kernel as needed to manage memory usage.
Kernel
A kernel performs computation for a notebook's code in a particular programming language, such as Python. Kernels can be customized to have different amounts of memory and compute based on user needs.
Library 
A package of code available to the notebook or job running on your resource. Noteable base images include many common libraries.
Base image
The Base Image is a Noteable-managed docker image that contains all that's needed to launch a kernel session and execute code. It consists of a Python kernel and libraries that are used for common data operations. 
Secret
Secrets are strings of data that are encrypted and securely stored. These are commonly used to store credentials for accessing external data (ex. API key). Read more: Store credentials for data & applications​
Dimension
Coming soon!
Dataframe
Coming soon!

Datasets

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Last modified 9mo ago

Data Explorer (DEX)	DEX is an automatic data visualization module that lets users explore their data visually using a UI.
Space	Spaces are virtual workspaces that contain projects. Spaces give you the ability to share multiple projects with a team in one central location. Read more: Spaces & projects
Project	Projects live inside spaces and contain all of your notebooks and data. They can be shared with other users in your organization or they can be private. Read more: Spaces & projects
Notebook	A notebook is a place where you can mix documentation, executable code, and analytic visualization in one easily accessible document. Notebooks empower users to gain insight from their data and communicate it effectively with the help of notes, charts, tables and code.
Folder	A Folder is a collection of files within a project.
Dataset	A dataset is repository of files that allows users to upload and store large files without directly loading them into the kernel. This allows users to selectively load large files into the kernel as needed to manage memory usage.
Kernel	A kernel performs computation for a notebook's code in a particular programming language, such as Python. Kernels can be customized to have different amounts of memory and compute based on user needs.
Library	A package of code available to the notebook or job running on your resource. Noteable base images include many common libraries.
Base image	The Base Image is a Noteable-managed docker image that contains all that's needed to launch a kernel session and execute code. It consists of a Python kernel and libraries that are used for common data operations.
Secret	Secrets are strings of data that are encrypted and securely stored. These are commonly used to store credentials for accessing external data (ex. API key). Read more: Store credentials for data & applications
Dimension	Coming soon!
Dataframe	Coming soon!