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The Time-series Service provides functionality for fetching stored time-series by entity, property, source and date-time span. The time-series are handled in a bi-temporal approach, where the version time is the time where the fact has been stored and the physical time where the transaction has happened.
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The Time-series Storage Core (or internal) Service is a final step in time-series ingestion pipeline. Processes published ingestion messages and stores data to the Time-series Storage.
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OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases
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The Notification service allows interested consumers to subscribe to data and metadata changes using a publish/subscriber pattern.
Docs: https://osdu.pages.opengroup.org/platform/system/notification
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Schema (and Reference Value) Upgrade Service
Docs: https://osdu.pages.opengroup.org/platform/system/reference/schema-upgrade
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Airflow DAG for transformation from SEGY to OpenZGY
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The Indexer Service indexes the metadata store to support the Search Service.
Docs: https://osdu.pages.opengroup.org/platform/system/indexer-service
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Contains the organization and governance material for PMC and associated projects.
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Policy service is used for management and evaluation of dynamic policies in OSDU.
Docs: https://osdu.pages.opengroup.org/platform/security-and-compliance/policy
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Google Cloud Infrastructure provisioning scripts and templates.
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This CSV Parser DAG supports the ingestion workflow for CSV type files
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The Partition Service dynamically pulls the correct connection information at runtime to connect to the correct partition.
Docs: https://osdu.pages.opengroup.org/platform/system/partition
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Entitlements service is used to enable authorization in OSDU Data Ecosystem. The service allows for the creation and management of groups.
Docs: https://osdu.pages.opengroup.org/platform/security-and-compliance/entitlements
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This is the repository for automated QA tests done on the OSDU Data Platform for each milestone release with real-world datasets (TNO, Volve, etc.)
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This project contains the Production and Reservoir Data Management micro-services which, along with the associated relational data model, as part of Halliburton's contribution.
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