12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A tech stack is a set of technologies used to develop and implement a piece of software or service. It usually consists of a combination of client-side and server-side software, databases, frameworks, programming languages, and other technologies needed to fully execute the program.
12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Full stack refers to the complete set of technologies needed to develop a web or application software. This includes the development of front-end functionality for websites and applications, as well as back-end functionality such as databases, APIs, server environments, and more.
12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Back-end development refers to the programming and development of websites or applications that are not visible to the user. The back-end developer creates the logical side of the application that controls the communication between the user interface and the database. This includes creating server scripts, databases, web APIs, servers, and more.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A server is a computer or device that provides data, applications, and other resources to other computers, devices, and users. Servers typically perform critical tasks, such as hosting websites, running network services, or storing and processing databases.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Hadoop is a free, open source software platform based on distributed storage and processing systems that enables organizations to store and analyze very large amounts of data. Hadoop was originally developed by Apache Software Foundation and is an integral part of Big Data technology. It is widely used to store and analyze very large amounts of data that might not be processed properly in a traditional database. Hadoop comes with various tools such as MapReduce, HDFS, and YARN that enable organizations to store and process data efficiently.