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
Kanban is a method used to control the flow of work in a company. It was originally developed by Toyota to optimize production processes. The goal of the Kanban system is to increase the efficiency of work and reduce costs. It is a visual system based on visualization of work and compliance with certain rules. Kanban can be used for production, distribution and development of software.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
AngularJS is a JavaScript framework developed by the Google company to create web applications. It was developed as an alternative to traditional web applications and uses a model-view-controller design pattern to simplify application development. It uses HTML, CSS and JavaScript to create the user interface and process user interactions. It offers a variety of features, such as data binding, routing, validation, mobile app creation, etc., that can help developers create a fast and efficient web application.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
SparkQL is a query language based on the Apache Spark framework that allows users to query data from various sources such as Hadoop HDFS, Apache Cassandra, and Apache Hive. SparkQL is a simple and powerful query language that allows users to run complex queries on Big Data sets. It provides a simplified model for processing and analyzing Big Data data.
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.