The data architecture describes how data is structured. It is composed of policies, rules or standards that govern how data is stored and organized. The main existing architectures - SQL, graphs, NoSQL databases- will be presented and compared. As the O&G industry has been one of the pioneers in using massive data (big data), data architecture has now to evolve to handle big data.
Public :
Professionals from all O&G disciplines who plan to have responsibilities in the data management domain.
Level :Awareness
Prerequisite :
No pre-requisistes are necessary to follow this course.
Course Content
INTRODUCTION TO DATA BASES ARCHITECTURE
TAXONOMY & ONTOLOGY, IMPORTANCE OF STANDARDIZATION
What is a well?
CFIHOS/JIP36 standardization project.
RELATIONAL DATABASES
ER diagrams.
SQL.
NoSQL DATABASES
GRAPH DATABASES
Cypher.
CONNECTION DATA TO BUSINESS
Data integration.
Data virtualization.
Data warehousing and BI tools.
Learning Objectives
Attendees will be able to implement the following skills:
Understand the various data bases architectures, with benefits/disadvantages,
Discuss architecture standards,
Identify and modify data architecture in their own company.
Ways & Means
Interactive lectures, case studies and exercises.
More
Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.
To French entities : IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program : referent.handicap@ifptraining.com
IFPT Account
