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The Geospatial Consumption Zone (GCZ) is a project spawned by the OSDU Geomatics Workstream to streamline the management and consumption of geospatial data in OSDU by client applications.

The File Service provides internal and external APIs to request for file location data, such as a signed URL per file upload. Using the signed URL, OSDU users will be able to upload their files for ingestion into the system.

The Schema Service enables schema management in the OSDU and offers an implementation of the schema standard.

The Time-series Management Service allows users to ingest time-series bulk data as a array of data points. The data can be written for set of entities, properties and source. User access is restricted through entitlements. The data ingested supports bi-temporality.

The External Data Sources Data Management Service (EDS DMS) integrates with the Dataset Service to accept and proxy requests for obtaining retrieval instructions for externally resing datasets and proxy. The service is implemented in Java and provides an open API.

The CSV Parser is a key component of pddms-csv-parser time-series bulk data ingestion workflow and main processing unit of corresponding Apache Airflow DAG

The Storage Service handles metadata ingestion in OSDU.

The Search Service supports full-text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search.

The Indexer Service indexes the metadata store to support the Search Service.

The Register Service manages subscriptions, action and DDMS registrations in the OSDU.

The Ingestion Workflow service provides a wrapper functionality around the Apache Airflow functions and is designed to carry out preliminary work with files before running the Airflow Directed Acyclic Graphs (DAGs) that will perform actual ingestion of OSDU data.

The Dataset Service provides internal and external APIs to allow fetching storage/retrieval instructions for various types of datasets.

The CRS Conversion Service provides spatial reference conversions for coordinates. Coordinates are represented by an array of 3D points.

This CSV Parser DAG supports the ingestion workflow for CSV type files

Legal service is to help ensure data compliance with legal data governance when dealing with data in the Data Ecosystem by managing legal tags

Secret Service facilitates the storage and retrieval of various types of secrets in a specified repository(ies) so that secrets can be secured, separated from the secrets in the infrastructure repository, and managed easily by interfacing applications.

The Partition Service dynamically pulls the correct connection information at runtime to connect to the correct partition.