BigData / Business Intelligence Consultant Intern
Necker Enfants Malades Hospital
Total des années d'expérience :1 years, 10 Mois
Mission: The establishment of a data warehouse prototype (BigData) based on NoSQL technologies. The treated data are
complex and changing structure. The Big Data solutions can provide flexibility for the treatment of such data,
evaluate and test the analytical solution on provided data. Implement the ETL (Talend for BigData), data and
analysis requests storage with Hadoop that will formalize with the help of a team member.
BI project :
In the context of OLAP education, I participated in the creation of a BI project as a technical consultant for the
implementation of a business intelligence solution to a dental office. Realization of a tutorial for Talend tool.
- Modeling the schema of a datawarehouse.
- Power the base with Talend ETL and a reporting party
Internship at INSERM at the Research Centre of Cordeliers - Paris - France :
- Mission: Design and implementation of a semantic data warehouse in the field of infectious diseases.
- Database: Oracle & MySQL - SQL Queries
Multidimensional modeling, ETL: Talend Open Studio, Restitution Data: Qlickview.
Mission: Home School Support of Primary Student.
BI Project :
- Participate in the implementation of a BI project as a technical consultant to improve the analysis of teaching
loads and warehouse management.
- Modeling the schema of a datawarehouse.
- Power this base with the ETL Talend 4.1.2, the restitution of information with Reporting Qlickview Tool.
Mission: Analyze, develop an application for managing and tracking subcontractors billing of SONELGAZ, SPA
- HTML, PHP, CSS, JavaScript / MySQL
The course of Software Engineering Decision and Economic Evaluation (IIDEE) specialty Master 2 Business Intelligence and Statistics (IDS) trains students in computer engineering from the decision, which will different technologies databases especially those of the data warehouse, the data mining and dynamic Web. Students are trained by different and complementary ways: education through courses, assignments on various topics that allow them to discover knowledge not seen during training and finally in a professional environment that allows them to apply their academic knowledge.
The first year of the Master of Computer Science is a pivotal year. It allows students to hone their skills while helping them to make choices that affect their future: what specialty in the second year, research or professional? It leads to our department on M2 specializations Business Intelligence and Statistics (IDS-IIDEE course, IDS-or IDS-OPSIE SISE) and Knowledge Discovery from Databases (KDD).