National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Model Driven Development of Spark Tasks
Bútora, Matúš ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
The aim of the master thesis is to describe Apache Spark framework , its structure and the way how Spark works . Next goal is to present topic of Model- Driven Development and Model-Drive Architecture . Define their advantages , disadvantages and way of usage . However , the main part of this text is devoted to design a model for creating tasks in Apache Spark framework . Text desribes application , that allows user to create graph based on proposed modeling language . Final application allows user to generate source code from created model.
Big Data
Bútora, Matúš ; Bartík, Vladimír (referee) ; Hruška, Tomáš (advisor)
The aim of the bachelor thesis is to describe the Big Data issue and the OLAP aggregate operations. These operations are applied using Apache Hadoop technology. Most of the work is focused on the description of this technology. The last chapter contains application of aggregate operations and their implementation, following the conclusion of the work and the possibility for future development.
Model Driven Development of Spark Tasks
Bútora, Matúš ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
The aim of the master thesis is to describe Apache Spark framework , its structure and the way how Spark works . Next goal is to present topic of Model- Driven Development and Model-Drive Architecture . Define their advantages , disadvantages and way of usage . However , the main part of this text is devoted to design a model for creating tasks in Apache Spark framework . Text desribes application , that allows user to create graph based on proposed modeling language . Final application allows user to generate source code from created model.
Big Data
Bútora, Matúš ; Bartík, Vladimír (referee) ; Hruška, Tomáš (advisor)
The aim of the bachelor thesis is to describe the Big Data issue and the OLAP aggregate operations. These operations are applied using Apache Hadoop technology. Most of the work is focused on the description of this technology. The last chapter contains application of aggregate operations and their implementation, following the conclusion of the work and the possibility for future development.

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1 Bútora, Michal
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