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Support the publication of open data in municipalities
Tichý, Petr ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This thesis deals with so-called open data. Specifically, it aims to support the publication of open data in municipalities. The work has three defined objectives - to analyze the issue of open and linked data, to analyze and select data suitable for opening, and to create an application to facilitate the opening and visualization of data. Each goal provides some partial benefit, but the main and the biggest benefit is the verification of standardized process that allow for opening and publication of data in a small village. The structure of the work is partly based on defined goals. It consists of an introduction, theoretical part, practical part and conclusion. The introductory part deals with basic introduction to the work, defining goals and present searches resources. In the theoretical part basic concepts of open and linked data are defined, then presents the benefits and risks associated with the opening of data are presented. Then, a standardized process of opening and publication of data is introduced as well as the evaluation of the current situation of open data in the Czech Republic and in other countries. The practical part sets objectives subdivided to the described process of opening and publication of data in the selected municipality and describes the process of designing and creating applications using open data from the previous process. The conclusion summarizes the whole work, and discusses whether and how the objectives are reached.
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Design of a database for the administration system of projects of a design studio
Sládek, Daniel ; Palovská, Helena (advisor) ; Kučera, Jan (referee)
Objective of the bachelor thesis was to propose a database for the administration of projects of one design studio. In order to fulfil the main objective there were defined partial objectives, such as the analysis of requirements, design of database and the implementation of databases in MySQL. The thesis is divide into theoretical and practical part, while the theoretical part explains the methodology for the design of database in the thesis and the ER model. The practical part contains the analysis of requirements for a database and then the design of a database, when there is the result of model of databases at the end of each level. You will find a conceptual, logical and physical model of the proposed database in the thesis. Then such database is put into operation in MySQL and then the proposed database is verified according to the criterions of fulfilment in the end. Result of the thesis is the proposed database, which a company will use for the creation of system. Everyone, who wants to create its own system for the administration of projects, may be inspired by the proposed database.
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Monitoring employee activity - practices and tools
Zdechovan, Ján ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This thesis discusses surveillance in the work environment. The topic is too extensive, that´s the reason its focus is mainly on electronic employee monitoring. The basic concepts are explained in the beginning of the thesis, which is subsequently followed by a simple survey oriented on the opinions on employee surveillance. The center of this thesis is an analysis of legal, technical and ethical aspects, which also reviews different monitoring practices. Identified practices are used for defining monitoring possible scenarios. The contribution of this work is the evaluation of employee monitoring practices and establishing a ranking of monitoring tools that can serve as a decision making tool for organizations. This thesis uses not only theoretical knowledge from literature, but also incoporates comments and opinions from experts.
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Behaviour Driven Development and Scrum in corporate environment
Kulhánková, Barbora ; Buchalcevová, Alena (advisor) ; Kučera, Jan (referee)
Agile software development methodologies these days are not used only in small enterprises or startups, they are getting spread around large enterprises as well. An evidence of this fact could be, that Scrum is nowadays the most commonly used approach to software development. So this thesis focuses on usage of agile approaches, Scrum methodology in particular, in large enterprises. Author presents an approach called Behaviour Driven development and proposes how this approach could help dealing with imperfections or barriers of Scrum when used in large enterprises. The major outcome of this thesis is author's own methodology called ScrumFlow, based on Scrum methodology and extended by Behaviour Driven Development approaches. ScrumFlow methodology is published on a website and available for free.
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Customization of methodology MMSP for automated testing using Selenium WebDriver tool
Skrčený, Vlastimil ; Buchalcevová, Alena (advisor) ; Kučera, Jan (referee)
Diploma thesis deals with creating a Methodology for small software projects focused on automated testing of using Selenium WebDriver tool (abbreviated MMSP - Selenium). The created methodology is based on customized methodology MMSP, which aims to transform part for automated testing of using Selenium WebDriver tool through the best principles and practices of already completed studies. Firstly, there will be summarized the most important terms related to the diploma thesis. Then will follow implementation of the methodology MMSP - Selenium, which is complemented by its new roles, tasks, and work products. Personal benefit of the diploma thesis is also created guidelines for Selenium WebDriver testing tool. For great benefit is also considered the publication of the methodology using the Eclipse Process Framework Composer tool. In conclusion of the created methodology verifies the business use cases, aimed at testing the functionality of web application Manuscriptorium.
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Datová integrace ve velkých podnicích
Nagyová, Barbora ; Kučera, Jan (advisor) ; Chlapek, Dušan (referee)
Data Integration is currently an important and complex topic for many companies, because having a good and working Data Integration solution can bring multiple advantages over competitors. Data Integration is usually being executed in a form of a project, which might easily turn into failure. In order to decrease risks and negative impact of a failed Data Integration project, there needs to be good project management, Data Integration knowledge and the right technology in place. This thesis provides a framework for setting up a good Data Integration solution. The framework is developed based on the current theory, currently available Data Integration tools and opinions provided by experts working in the field for a minimum of 7+ years and have proven their skills with a successful Data Integration project. This thesis does not guarantee the development of the right Data Integration solution, but it does provide guidance how to deal with a Data Integration project in a large enterprise. This thesis is structured into seven chapters. The first chapter brings an overview about this thesis such as scope, goals, assumptions and expected value. The second chapter describes Data Management and basic Data Integration theory in order to distinguish these two topics and to explain the relationship between them. The third chapter is focused purely on Data Integration theory which should be known by everyone who participates in a Data Integration project. The fourth chapter analyses features of the current Data Integration solutions available on the market and provides an overview of the most common and necessary functionalities. Chapter five focuses on the practical part of this thesis, where the Data Integration framework is designed based on findings from previous chapters and interviews with experts in this field. Chapter six then applies the framework to a real working (anonymized) Data Integration solution, highlights the gap between the framework and the solution and provides guidance how to deal with the gaps. Chapter seven provides a resume, personal opinion and outlook.
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Final report about research in Sokolov post mining sites in 2015 based on agreement between ENKI ops and Institute of Soil Biology BC CAS
Frouz, Jan ; Moradi, J. ; Mudrák, Ondřej ; Albrechtová, Jana ; Kučera, J. ; Kukla, J. ; Bednářová, E. ; Vindušková, O. ; Sebag, D. ; Cailleau, G. ; Brus, Jiří
The report brings main results of the research about soil and ecosystem recovery in post mining landscape near Sokolov based on agreement between ENKI ops and Institute of soil biology, BC CAS.
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project management as a Service and its usability in project environment of large companies
Illetško, Petr ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
The current trend in project management is the ability to use the talent of project manager without the need to hold the position long term in the organization. In analogy to model anything as a service the concept of project management as a service was created. Since this concept is relatively new the definition is not yet formally introduced in specialized methodologies standards and norms. Mentions of Project Management as a Service are mainly in analytical articles, interviews and trends of expert web portals and magazines. The objective of this work is to introduce the topic of project management including related terms and identify possible definition of Project Management as a Service. Another objective is to define project management services, which can be converted into a model Project Management as a Service. Constructed theoretical definitions and designed services are presented to respondents engaged in project management in multiproject environment of large companies in the practical part of work. The semi-structured interviews with the aim of validation of the accuracy and suitability of these theories are conducted subsequently.
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Design and implementation of margin reporting in travel agency
Švondrová, Aneta ; Kučera, Jan (advisor) ; Chlapek, Dušan (referee)
This thesis describes the design and implementation of the margins reporting in the travel agency. The main goal of the thesis is the design and implementation of a tool for margins monitoring of future package tours. The theoretical part provides an overview of resources devoted to Business Intelligence. The resources include various data sources which are specialized publications, scientific articles, theses and other electronic resources. Further, there are explained basic concepts related to Business Intelligence, benefits, principles and major components of Business Intelligence solution. At the end of the theoretical part is provided an overview of current Business Intelligence market trends and is introduced QlikView tool, which is used for creating reports in the practical part. The practical part is an analysis of the current situation of margins reporting in the travel agency. Problems are identified in this field. The company set requirements for implementation solution based on identified issues. Using knowledge gained in the theoretical part is designed a solution that meets the business requirements and this solution is implemented. The conclusion contains the verification of the solution implemented in practice and the evaluation of the fulfillment of the thesis objectives. The implementation of the margin reporting in the real company is considered as the main benefit of the thesis. The other benefit of the thesis is the description of the real case in which was used a tool based on in-memory analysis - one of the trends in Business Intelligence. Then there is the description of the case using Business Intelligence for a decision-making in one industry, travel agency.
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Big Data analysis in healthcare
Nováková, Martina ; Kučera, Jan (advisor) ; Chlapek, Dušan (referee)
This thesis deals with the analysis of Big Data in healthcare. The aim is to define the term Big Data, to acquaint the reader with data growth in the world and in the health sector. Another objective is to explain the concept of a data expert and to define team members of the data experts team. In following chapters phases of the Big Data analysis according to methodology of EMC2 company are defined and basic technologies for analysing Big Data are described. As beneficial and interesting I consider the part dealing with definition of tasks in which Big Data technologies are already used in healthcare. In the practical part I perform the Big Data analysis task focusing on meteorotropic diseases in which I use real medical and meteorological data. The reader is not only acquainted with the one of recommended methods of analysis and with used statistical models, but also with terms from the field of biometeorology and healthcare. An integral part of the analysis is also information about its limitations, the consultation on results, and conclusions of experts in meteorology and healthcare.
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