Have you ever thought about how valuable your personal information and data are? What if I told you that there is a fascinating field called Data Mining that uses this data to reveal secrets about you? Every click, every search, every online interaction generates valuable data. But how is this data used? In ...
According to Google, interest in “Big Data” has been on the rise for several years. But it has really gained momentum this past year. The purpose of this article is to highlight the differences between Data Lakes and Data Warehouses. Data Lakes and Data Warehouses are all designed to store big data (Big ...
A Data Management Platform is a platform for managing Internet users' data. This is a platform generally offered in SaaS mode which allows user data to be retrieved, centralized, managed and used. How does a DPM work? Each time a website is visited, information from Internet users is collected, stored and classified in a database. ...
Data Analytics is a set of statistical methods aimed at drawing conclusions from masses of information. This science relies on the countless data collected by an entity to understand certain phenomena and thus better anticipate them. In the business world, this allows for example to make the most appropriate decisions as quickly as possible. Thanks to the development ...
The term Data Warehouse translates into French as “Data Warehouse”. Like a real warehouse, the Data Warehouse allows you to store terabytes of functional data. This data is collected, processed and ordered in a data warehouse. They can then be crossed, cut, analyzed, dissected… this is what we call Datamining. Its purpose is to help ...
Big Data: it's the buzzword right now. A word that is both vague and exciting, stressful and futuristic but above all which generates new professions, including that of Data scientist. What is Data Scientist? Today, Big Data, this gigantic mass of digital data, can no longer be ignored and forgotten. It's a gold mine ...
The word Big Data is used more and more, sometimes excessively and sometimes in situations where it is not appropriate. So what is Big Data? Why is it so valuable for businesses? What are the challenges of all this data and why is it such a big business? So many questions to which we ...