• Class and Course

    OSDU Developer Training - Fundamentals

    OSDU Developer Training -  Fundamentals (2 Days)

    This two days course introduces concepts of OSDU Data Platform. 

    It covers data definitions, schemas, data lifecycle and related services.  

    It shows how to maintain data compliance, to control data access, to ingest data into the platform, to transform to standard structures, to improve data quality , and ultimately to discover and consume the enriched data. It also introduces Wellbore and Seismic Domain Data Management Services.

    The course includes two hands-on labs. Participants are added to the dedicated training account for the duration of the course and will have access to the Developer Portal to explore and try out the OSDU services. Optionally, participants can use their own OSDU accounts and/or other tools to try out the APIs.   

    The course is delivered as Remote Instructor Led Series in 4 sessions during 4 half-days. Each session is 4 hours and consists of two 90 mins instructions and two 30 mins breaks/FAQs.  

    Session 1 (4 hours)

    • learn about OSDU data definition and conventions
    • learn about OSDU data schema hierarchy
    • an overview of OSDU concepts and services
    • introduction to Developer Portal

    Session 2 (4 hours)

    • learn how to use entitlement services to control data access and to use compliance service to enforce the right of the use of data
    • learn about Frame of Reference in the data platform and how data are normalized using  unit & CRS conversion services
    • learn how to design, develop and deploy schema
    • follow record lifecycle from create, update, delete and purge (includes lab)
    • discover data using search services and Lucene query syntax (includes lab) 

    Session 3 (4 hours)

    • learn how files are ingested and retrieved
    • learn how to get notifications upon data changes in the data platform
    • learn how to develop, execute and monitor workflows 
    • learn how to use mapping to make structural transformation between raw and wks-data
    • learn how to use csv-ingestor to ingest data and monitor the status of ingested and transformed data

    Session 4 (4 hours)

    • learn about Wellbore DMS and ingest well centric data (includes lab)
    • learn about Seismic DMS and associated meta data 


    Software Project Managers


    Data Scientists

    Data Managers 

    Data Architects

    Recommended: Python

    Desired: basic understanding of E&P data types and RESTfull API & microservices 

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