Category: Data Science

Initially developed in 1998, this library has since undergone constant evolution and regular updates. OpenSSL is written in C and is available on various platforms,

As a leader in wireless communications, Cisco is present in thousands of companies worldwide. Business experts with a perfect command of Cisco tools therefore enjoy

If data is to enable organizations to make informed decisions, the information must be reliable. The transformation phase is therefore a key challenge for companies.

Today, companies produce exponential quantities of data from a variety of sources. Managing these information flows has therefore become a priority to ensure increased competitiveness.

To better understand data, it’s essential to analyze its relationships. And to facilitate this analysis when faced with tens of thousands of lines of data,

Blockchain a technology for storing and transmitting information. It is often defined as a decentralized, distributed ledger that stores ownership of digital assets. Indeed, any

Multidimensional analysis is the ability to analyze data that has been aggregated along several dimensions. In this article, you’ll discover star and snowflake patterns, the

Thanks to the development of Big Data and Artificial Intelligence, Data Scientists can use data learning models to perform predictive analyses. Among the most effective

Managing large volumes of data is now commonplace, and to this end a profile has emerged that has become indispensable within large structures: the Data

Data collection is the first step in creating a Machine Learning model. It is therefore essential to choose a database model that offers the features

If you’re designing an SQL database management system, it’s in your interest to know and implement the foreign key system. In the long term, it’s

While virtual machines can be used to virtualize existing applications, today it’s the containers that are all the rage for modern applications. But to manage