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Airflow DAG for transformation from SEGY to OpenZGY

OQM (Object to Queue) Mapper

Terraform module for deploying and managing OSDU services on Google Cloud Platform using Helm charts. Provides automated deployment and configuration of microservices in GKE (Google Kubernetes Engine) clusters.

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.

Docs: https://osdu.pages.opengroup.org/platform/data-flow/ingestion/ingestion-workflow

Azure Infrastructure provisioning scripts and templates

This project is the home for required helm charts to install OSDU on Azure.

The project contains all Airflow dependencies need to OSDU.

Docs: https://osdu.pages.opengroup.org/platform/data-flow/ingestion/osdu-airflow-lib

CI (Community Implementation) Butler

Open Subsurface Data Universe (OSDU) Wellbore-DDMS Worker is a python back-end service used internally by the OSDU Wellbore DDMS. It provides an internal API for accessing Wellbore bulk data.

Google Cloud Infrastructure provisioning scripts and templates.

Command-line interface for interacting with OSDU.

Open Subsurface Data Universe will use this repository to maintain the open datasets used for testing and demonstrating the solution.

This is sdapi (C++ library) for seismic dms also known as SDMS v3

OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases

The Stream Storage Core (or internal) Service is a set of low level APIs for time-series data streams management.