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How Data Warehouses Work
Jaren Brownlee edited this page May 22, 2023
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An important thing to understand when working with DeepLynx is how a data warehouse functions. Here is a brief diagram illustrating how most data warehouses are organized. Note: Source systems refer to outside systems such as P6 and Aveva Everything 3D.
The DeepLynx program performs all operations illustrated above.
Where DeepLynx is unique is that as part of our ETL pipeline we map the data coming in to a user defined ontology. That ontology allows us to unify all data from all sources under a single schema - which is then stored in a graph like manner.
Sections marked with ! are in progress.
- HTTP Authentication Methods
- Generating and Exchanging API Keys for Tokens
- Creating a DeepLynx Enabled OAuth2 App
- Authentication with DeepLynx Enabled OAuth2 App
- Creating an Ontology
- Creating Relationships and Relationship Pairs
- Ontology Versioning
- Ontology Inheritance
- Querying Tabular (Timeseries) Data
- Timeseries Quick Start
- Timeseries Data Source
- Timeseries Data Source via API
- Exporting Data
- Querying Data
- Querying Timeseries Data
- Querying Jazz Data
- Querying Data - Legacy
- Querying Tabular Data