GDM3 - Data management methods
GDM3 - Data management methods
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Program : Petroleum Data Management
Content
Presentation
Data Lifecycle Management - Stéphane MARTY - 2024
Data Management Fundamentals - Chris BRADLEY - 2024
François AVRIL - Petrel Data Management
François AVRIL - Petrel Data Enrichment Workshop
Stephane MARTY - Data Quality Management
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OBJECTIFS PEDAGOGIQUES
- Describe and implement the main functions of Data Management,
- Apply best practices managing Corporate/Project Data taking into account their position into the lifecycle,
- Develop a governed approach to make data fit for purpose based on data consumers’ requirements,
- Build a new data model (conceptual, logical or physical data model) and review an existing data model,
- Understand and adopt data models,
- Describe reference and master data management (including importance and impact) in an organization and business entities,
- Define and maintain architecture specifications,
- Develop a Data Security strategy and policy, consistent with regulations,
- Define the data governance framework (data scope, management principles and standards),
- Prepare raw data, cleanse, enrich, validate and publish them in a format suitable for data analysis,
- Choose, apply a typical algorithms of machine learning, exploit results and measure the effectiveness of an algorithm.
List of speakers
Mathilde ADELINET
Maria AGUILERA
Alain AURIAULT
Carla CASTILLO
Antoine COUTURIER
Jean-Pierre DEFLANDRE
Eric DEVILLE
Frédérique FOURNIER
Karine LABAT
Jerome LAVAL
Olivier LERAT
Christian PAUCHON
Arnaud TORRES