Basic Concepts

This section describes the most important terms and concepts in Data Factory Studio.

See Also
Main Workflows
Class
A set of properties. Equivalent to an SQL Table.
Data Model
In an Index Unit, the Data Model is the place where you configure how to index data. A data model is made of one or several classes, each defined by several properties.
Data Query
An API endpoint used to process a request to one or more Semantic Graph Index data sources. You use Data Queries and their related ResultSet as input in your visualizations.
Destination
In Data Factory Studio, this term refers to the data model class in which an ingestion pipeline sends indexed data.
Index Unit
This is the container of your Semantic Graph Index data model.
Ingestion
In Data Factory Studio, this terms refers to the configuration of pipelines, to fetch data and push it in data model classes.
Package
Organizes the Semantic Graph Index data model classes into specific namespaces.
Pipeline
In Data Factory Studio, this term refers to the ingestion pipeline, that fetches data from an S3 source, processes it, and pushes it to a data model class.
Properties
Define the configuration of the document metas you want to index. During indexing, the Semantic Graph Index converts properties into index fields.
Source
Data Factory Studio relies natively on the Semantic Graph Index (SGI) configuration and retrieves data from Simple Storage Service (like Amazon S3) sources.
Schema
A set of data model classes. Equivalent to an SQL Database.