Web Application for Graphical Description and Execution of Spark Tasks

This master's thesis deals with Big data processing in distributed system Apache Spark using tools, which allow remotely entry and execution of Spark tasks through web inter- face. Author describes the environment of Spark in the first part, in the next he focuses on the Apache Livy project, which offers REST API to run Spark tasks. Contemporary solutions that allow interactive data analysis are presented. Author further describes his own application design for interactive entry and launch of Spark tasks using graph repre- sentation of them. Author further describes the web part of the application as well as the server part of the application. In next section author presents the implementation of both parts and, last but not least, the demonstration of the result achieved on a typical task. The created application provides an intuitive interface for comfortable working with the Apache Spark environment, creating custom components, and also a number of other options that are standard in today's web applications