User glossary


A B C D E F G H I J K L M N O P Q R S T U V W X Y Z


Access

See Dataset access

Apps

Docker images that can be mounted inside Projects, pulled from either public or private Docker image registries. Persistent storage can be added to keep data in a defined volume path when a containerized app is stopped.

Authorization

Rights granted to groups through the Security menu. These rights include access to specific features of the application, access to datasets, as well as editing rights on individual projects.

Credentials

See Docker credentials

Dataset

Collection of data accessed inside Governance’s data portal.

Dataset access

Set of rules defining which groups can access which datasets in Saagie.

Docker credentials

Login information stored inside Projects that allow users to pull Docker images from private registries when creating Apps.

Domain

Entity in Governance that groups datasets. Domain organization is flexible to fit with the company’s own data organization (for example: by geography, branch, or team).

Environment variable

Dynamic-named values that can be referenced inside of jobs. Using environment variables limits the need to modify a job’s running code each time the value of the variable changes. Environment variables can be created at the platform (global) or project level to ensure proper control over who can access and use the variables.

Group

Entity in which a selection of users is placed. Groups are given authorizations in Projects and Governance. When an administrator grants authorizations to a group, each user within that group receives those authorizations.

Instance

A single run of a job, pipeline, or app inside of a project. Run information and logs for all instances are saved to your platform.

Job

Computation task performed inside Projects on Saagie using one of the integrated technologies. It is run through a command line and can be launched individually (in both manual and scheduled modes) or as part of a data pipeline.

Manager

Legacy user interface of Saagie. It allows the creation of extraction, processing, and smart app jobs as well as access to data lake and data mart services. In the Manager, all jobs are listed on a single menu, whereas in Projects, they are organized by project to sort them more easily.

Pipeline

Sequence of jobs that are connected and executed in a series inside Projects.

Platform

Individual Saagie environment. A customer can have several platforms—for example: experimentation, pre-production, and production—with the ability to promote jobs between each of them as they transition from one phase to another.

Project

Entity set up inside a Platform in which users can create jobs, pipelines, and apps. View by projects enables proper isolation between projects, with the setup of individual access rights.

User

Single Saagie account created on one or several platforms. Users are granted authorizations by administrators.

Variable

See Environment variable

Version

Single iteration of a job or pipeline. Each new update is stored as a version, enabling users to rollback to previous iterations and keep track of successive modifications.