National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Computational tasks for solving parallel data processing
Rexa, Denis ; Uher, Václav (referee) ; Mašek, Jan (advisor)
The goal of this diploma thesis was to create four laboratory exercises for the subject "Parallel Data Processing", where students will try on the options and capabilities of Apache Spark as a parallel computing platform. The work also includes basic setup and use of Apache Kafka technology and NoSQL Apache Cassandra database. The other two lab assignments focus on working with a Travelling Salesman Problem. The first lab was designed to demonstrate the difficulty of a task where the student will face an exponential increase in complexity. The second task consists of an optimization algorithm to solve the problem in cluster. This algorithm is subjected to performance measurements in clusters. The conclusion of the thesis contains recommendations for optimization as well as comparison of running with different number of computing devices.
Vytvoření případových studií pro předmět Administrace databázových systémů
Zahálka, Filip
Zahálka, Filip. Creating Case Studies for Database Systems Administration Subject. Bachelor thesis. Brno : Mendel University in Brno, 2019. This bachelor thesis deals with the creation of case studies in the field of data- base systems. These will serve as a tool for database systems administration. Work with individual types of databases with focus on specific selected databases. In this thesis, it is explained how the case studies were created and the technologies used are presented.
Computational tasks for solving parallel data processing
Rexa, Denis ; Uher, Václav (referee) ; Mašek, Jan (advisor)
The goal of this diploma thesis was to create four laboratory exercises for the subject "Parallel Data Processing", where students will try on the options and capabilities of Apache Spark as a parallel computing platform. The work also includes basic setup and use of Apache Kafka technology and NoSQL Apache Cassandra database. The other two lab assignments focus on working with a Travelling Salesman Problem. The first lab was designed to demonstrate the difficulty of a task where the student will face an exponential increase in complexity. The second task consists of an optimization algorithm to solve the problem in cluster. This algorithm is subjected to performance measurements in clusters. The conclusion of the thesis contains recommendations for optimization as well as comparison of running with different number of computing devices.
NoSQL databases
Günzl, Richard ; Palovská, Helena (advisor) ; Strossa, Petr (referee)
This thesis deals with database systems referred to as NoSQL databases. In the second chapter, I explain basic terms and the theory of database systems. A short explanation is dedicated to database systems based on the relational data model and the SQL standardized query language. Chapter Three explains the concept and history of the NoSQL databases, and also presents database models, major features and the use of NoSQL databases in comparison with traditional database systems. In the fourth chapter I focus on the various representatives of NoSQL databases, in particular the ones that are most frequently used. In the next chapter, I have taken a practical look at a NoSQL database, specifically Apache Cassandra. I briefly describe the steps required to launch Apache Cassandra and its administration tools. In this practically-oriented chapter, I also show basic operations performed over a sample database using Cassandra CLI, its interactive command line interface. The purpose of this chapter is to make the reader familiar with the method of working with the Apache Cassandra database system and to point out some of its specific aspects. The primary objective of this thesis is to acquaint readers with the most important features and representatives of NoSQL databases and the potential for their practical use.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.