Since 1973, INSEE provided each year, some statistics about French sectoral and regional (departmental one, since 2002) wage-earning and non wage-earning job. This statistics works is heavy and spend a long time to check all collected and calculated data because the level of disaggregation is...

Since 1973, INSEE provided each year, some statistics about French sectoral and regional (departmental one, since 2002) wage-earning and non wage-earning job. This statistics works is heavy and spend a long time to check all collected and calculated data because the level of disaggregation is...

We often present data bank building (output-data calculation) as an only quantitative work. We think that economist should consider the context where his input-data were built, before to use them in his own data bank (we suggest to make an institutional and a bibliometric analysis of the...

Over the past decade, many technological solutions have been designed to meet the multiple challenges of Big Data, namely the problematic of storing and processing huge volumes of data generated at continuous pace. Two major concepts are at the heart of the solutions designed to meet the...

This book aims to discover the main techniques of data analysis through numerous examples and application exercises. It is intended for students of Bachelor, Master or Doctorate in Marketing and Management of Business Schools and Management. It is organized around the key steps of a data...

In recent years, Data Warehouses have become essential tools for companies to deal with decision-making and strategic issues related to Big Data. The purpose of this document is to present three main approaches to Data Warehouse modeling, namely the star schema, the normalized model 3NF and the...

The area of Big Data is commonly characterized by situations where the volumes of data are such that it is impossible to store and process them on a single machine. Data are stored across a group of machines called "cluster". However, new technological solutions had to be imagined by IT...

The conduct of any statistical study, whether it is descriptive, exploratory, explanatory or predictive first requires a phase of data processing, organization and structuring. However nowadays with the emergence of Big Data, the practical implementation of these operations is becoming...

Data Science is a technical discipline that associates statistical concepts to computer algorithms and calculations for processing and modeling mass data derived from observation phenomena (economic, industrial, commercial, financial, managerial, social, etc. .). In the area of Business...

To date, Open-source softwares are gradually emerging as credible alternatives to "owners" softwares in the field of management of voluminous data. Among this panoply of free softwares, there is R, a software that can be considered both as a pure programming software but also as a data...