Our Key Technologies and Tools

Below, we provide an overview of the key tools and technologies we use across various fields, from data analysis and web development to project management and version control.

1. Statistics and Data Analysis

• Matlab: A programming language and environment for numerical computation and data analysis.
• R: A programming language and environment dedicated to statistical analysis and data visualization.
• SPSS: A statistical analysis software widely used in research and business.
• SAS: A software suite for statistical analysis and data management.

2. Databases

• MySQL: An open-source relational database management system, popular for its ease of use and performance.
• Oracle: A robust RDBMS known for its scalability and reliability in enterprise applications.
• MongoDB: A NoSQL document-oriented database ideal for managing unstructured data.
• MariaDB: A fork of MySQL designed for full compatibility while improving performance.
• PostgreSQL: An open-source RDBMS recognized for its advanced features and support for geographic data.

3. Cloud Platforms

• Microsoft Azure: A comprehensive cloud platform offering a wide range of services, including computing, analytics, and storage.
• Amazon Web Services (AWS): A leading cloud platform providing scalable and flexible infrastructure services.

4. Web Development

• Python: A versatile programming language used for web development, data analysis, and automation.
• Ajax: A technique for creating dynamic and interactive web applications, enhancing user experience.
• JavaScript: A fundamental programming language for front-end development, widely used for building user interfaces.
• WordPress: The most popular content management system (CMS) for building and managing websites.

5. Repository Control

• SVN (Subversion): A version control system for managing files and directories while maintaining change history.
• Git: A distributed version control system ideal for managing collaborative and open-source development projects.