GDM3 - Data management methods

Accès permanent

Programme : Petroleum Data Management

Contenu

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

111 inscrits

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.

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