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Arvidsson, Andreas, and Jörgen Bygdemark. "JÄMFÖRELSE MELLAN ORACLE RDBMS, ORACLE NOSQL OCH MONGODB." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163179.
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Databases are present everywhere in our modern society and the amount of data that have to be stored is constantly increasing, which means that it’s now more important than ever to be able to handle massive data sets effectively. NoSQL databases2 were developed to solve this problem by efficiently storing large amounts of data and enable fast access to that data. Since NoSQL databases only became popular within the last ten years, they haven’t been as well researched as relational databases. An in-depth evaluation is carried out on six distinct features, where one part is comparative performance tests. The other features are: scalability, consistency, availability, durability and reliability. MongoDB and Oracle NoSQL are the NoSQL databases used and together with Oracle RDBMS as relational database make up the basis for a comparative study of the above mentioned features.The results showed that there are big differences between how data is handled in NoSQL compared to relational databases that will affect the choice of database, e.g. that NoSQL tends to prioritize that clients can reach the database over non-contradictory data and lowering the demands on transaction management to increase performance and storage capacity. Furthermore, the performance tests showed that both NoSQL databases performed beer than the relational database regardless of the data set size. MongoDB was clearly the fastest on reading operations, while Oracle NoSQL performed write operations the fastest most of the time. Both NoSQL databases are impacted less by a growing data set than the relational database for both read and write operations.
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Pecsérke, Róbert. "Podpora MongoDB pro UnifiedPush Server." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255415.
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Tato diplomová práce se zabývá návrhem a implementací rozšíření pro UnifiedPush Server, které serveru umožní přistupovat k nerelační databázi MongoDB a využívá potenciál horiznotální škálovatelnosti neralačních databází. Součástí práce je i návrh výkonnostních testů a porovnání výkonu při behu na jednom a vícero uzlích, návrh migračního scénáře z MySQL na MongoDB, identifikace úzkých míst. Aplikace je implementována v jazyce Java a využívá Java Persistence API pro přístup k databázím. Pro přístup k nerelačním databázím používá implementaci standardu JPA Hibernate OGM.
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Skarman, Mattias, and Jacob Östelid. "Relationsdatabas eller NoSQL? : En jämförelse mellan MSSQL och MongoDB." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-43255.
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Midroc automation uses databases for many different projects, both internally and in customer projects. At present, they are mainly using relational databases. There is an interest in researching different types of databases not based on the relational model. Midroc automation wants to know if there are any advantages of using a non-relational database. This project will compare two different databases. To make this comparison Microsoft SQL and MongoDB has been selected. MongoDB is a document type database which belongs to the category of non-relational databases commonly referred to as NoSQL. An application with a GUI and CRUD operations for each database has been implemented. This implementation was done using C# .NET in Visual Studio. The result of the comparison shows that MongoDB is more flexible while developing a database. It is also easier to make changes to an existing database while working with MongoDB. It is however harder to find information and support online when working with MongoDB.Midroc Automation använder databaser till många olika projekt, både internt och mot sina kunder. Idag använder de främst databaser baserade på relationsmodellen. De är intresserade av att utreda om det finns några andra typer av databaser som inte är baserade på relationsmodellen och också om dessa skulle innebära några fördelar. I detta projekt kommer man att jämföra två olika databaser. För att göra denna jämförelse har man valt att undersöka Microsoft SQL och MongoDB. MongoDB är en databas av dokumenttyp som tillhör de moderna icke-relationella databaserna kallade NoSQL. För att göra jämförelsen har en applikation med tillhörande GUI och CRUD-operationer implementerats för varje databas. Implementationen har gjorts med hjälp av C# .NET i utvecklingsverktyget Visual Studio. Resultatet av jämförelsen visar att MongoDB är mer flexibelt vid utveckling av databasen. Det är också enklare att göra ändringar till en befintlig databas med MongoDB. Det är dock svårare att hitta information och hjälp online då man utvecklar en Mongo databas.
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Wester, Alfred, and Olof Fredriksson. "Jämförelse av Mysql och MongoDb." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2310.
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Speed is a very important factor in websites and other types of applications and almost all applications stores some type of data, normally in a database. For an example a blog typically saves users, posts and comments. There’s a high risk that as the amount of data in the database grows, the time for inserting and requesting specific data increases. If it takes more than some seconds to view a specific page, a user will normally leave the site. However, it’s a fact that the database will grow while the application will become more popular but it’s possible to save a lot of time if using right database, and structure. In this thesis MongoDB and MySQL will be compared with focus on time consumption. SQL (Structured Query Language) is the language which most databases use. This kind of database stores data in structured tables and noting can be added to them if the type of data is incorrect. SQL also support relations between tables. MySQL is a very popular relational database management system (RDBMS) which for example websites frequently makes use of. NoSQL is a new type of databases where the data is stored in collections without any kind of structure, unlike the well known SQL databases where the data is stored in structured tables. Because of the non-structure, these types of databases are designed to be fast and scalable over multiple machines. Mongodb is a such kind of NoSql-database. Tests has been done both on inserting and processing when handling up to 4 millions entities, MongoDB performs better in almost every test. Results shows that the processing time is shorter using MongoDb in the cases that this thesis is covering, and that it’s possible to implement a much fast application when using MongoDb instead of Mysql as database.
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Nirfelt, Sebastian. "Replikation: Prestanda med MongoDB." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20940.
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Förmågan att lagra data är en stor bidragande faktor till att vetenskapen ständigt rört sig framåt. Under några tusen år har människan utvecklats från att lagra data på grottväggar till hårddiskar och kraven på prestanda, tillgång och felsäkerhet ökar i rasande takt. För att hantera data i det moderna samhället utvecklas ständigt nya metoder och en av dessa metoder är replikation. Den här undersökningen testar hur replikation påverkar prestandan i en distribuerad MongoDB-lösning. Testerna i undersökningen är automatiserade och körs mot databasen i olika konfigurationer för att se hur prestandan förändras.The ability to store data is a contributing factor in making science constantly move forward. In a few thousand years man has evolved from storing information on cave walls to hard drives and requirements in performance, availability and fault tolerance are rapidly increasing. To manage information in modern society new methods are constantly evolving and one of these methods is replication. This study tests how replication affects the performance in a distributed MongoDB solution. The tests in this survey are automated and run against the database in different configurations to see how performance changes.
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Ankit, Bajpai. "SQL versus MongoDB from an application development point of view." Kansas State University, 2014. http://hdl.handle.net/2097/18816.
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Master of ScienceDepartment of Computing and Information Sciences
Doina Caragea
There are many formats in which digital information is stored in order to share and re-use it by different applications. The web can hardly be called old and already there is huge research going on to come up with better formats and strategies to share information. Ten years ago formats such as XML, CSV were the primary data interchange formats. And these formats were huge improvements over SGML (Standard Generalized Markup Language). It’s no secret that in last few years there has been a huge transformation in the world of data interchange. More lightweight, bandwidth-non-intensive JSON has taken over traditional formats such as XML and CSV. BigData is the next big thing in computer sciences and JSON has emerged as a key player in BigData database technologies. JSON is the preferred format for web-centric, “NoSQL” databases. These databases are intended to accommodate massive scalability and designed to store data which does not follow any columnar or relational model. Almost all modern programming languages support object oriented concepts, and most of the entity modeling is done in the form of objects. JSON stands for Java Script object notation and as the name suggests this object oriented nature helps modeling entities very naturally. And hence the exchange of data between the application logic and database is seamless. The aim of this report is to develop two similar applications, one with traditional SQL as the backend, and the other with a JSON supporting MongoDB. I am going to build real life functionalities and test the performance of various queries. I will also discuss other aspects of databases such as building a Full Text Index (FTI) and search optimization. Finally I will plot graphs to study the trend in execution time of insertion, deletion, joins and co- relational queries with and without indexes for SQL database, and compare them with the execution trend of MongoDB queries.
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Agena, Barbara Tieko. "Acesso a dados baseado em ontologias com NoSQL." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-23012018-132444/.
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O acesso a dados baseado em ontologia (OBDA, de Ontology-Based Data Access) propõe facilitar ao usuário acesso a dados sem o conhecimento específico de como eles estão armazenados em suas fontes. Para isso, faz-se uso de uma ontologia como camada conceitual de alto nível, explorando sua capacidade de descrever o domínio e lidar com a incompletude dos dados. Atualmente, os sistemas NoSQL (Not Only SQL) estão se tornando populares, oferecendo recursos que os sistemas de bancos de dados relacionais não suportam. Desta forma, surgiu a necessidade dos sistemas OBDA se moldarem a estes novos tipos de bancos de dados. O objetivo desta pesquisa é propor uma arquitetura nova para sistemas OBDA possibilitando o acesso a dados em bancos de dados relacionais e bancos de dados NoSQL. Para tal, foi proposta a utilização de um mapeamento mais simples responsável pela comunicação entre ontologia e bancos de dados. Foram construídos dois protótipos de sistemas OBDA para sistemas NoSQL e sistemas de bancos de dados relacional para uma validação empírica da arquitetura proposta neste trabalho.Ontology-based data access (OBDA) proposes to facilitate user access to data without specific knowledge of how they are stored in their sources. For this, an ontology is used as a high level conceptual layer, exploring its capacity to describe the domain and deal with the incompleteness of the data. Currently, NoSQL (Not Only SQL) systems are becoming popular, offering features that relational database systems do not support. In this way, the need arose for shaping OBDA systems to deal with these new types of databases. The objective of this research is to propose a new architecture for OBDA systems allowing access to data in relational databases and NoSQL databases. For this, we propose the use of a simpler mapping responsible for the communication between ontology and databases. Two OBDA system prototypes were constructed: one for NoSQL systems and one for relational database systems for an empirical validation.
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Ishak, Marwah. "Prevention of Privilege Abuse on NoSQL Databases : Analysis on MongoDB access control." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296525.
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Database security is vital to retain confidentiality and integrity of data as well as prevent security threats such as privilege abuse. The most common form of privilege abuse is excessive privilege abuse, which entails assigning users with excessive privileges beyond their job function, which can be abused deliberately or inadvertently. The thesis’s objective is to determine how to prevent privilege abuse in the NoSQL database MongoDB. Prior studies have noted the importance of access control to secure databases from privilege abuse. Access control is essential to manage and protect the accessibility of the data stored and restrict unauthorised access. Therefore, the study analyses MongoDB’s embedded access control through experimental testing to test various built-in and advanced privileges roles in preventing privilege abuse. The results indicate that privilege abuse can be prevented if users are granted roles composed of the least privileges. Additionally, the results indicate that assigning users with excessive privileges exposes the system to privilege abuse. The study also underlines that an inaccurate allocation of privileges or permissions to users of databases may have profound consequences for the system and organisation, such as data breach and data manipulation. Hence, organisations that utilise information technology should be obliged to protect their interests and databases from others and their members through access control policies.Datasäkerhet är avgörande för att bevara datats konfidentialitet och integritet samt för att förhindra säkerhetshot som missbruk av privilegier. Missbruk av överflödig privilegier, är den vanligaste formen av privilegier missbruk. Detta innebär att en användare tilldelas obegränsad behörighet utöver det som behövs för deras arbete, vilket kan missbrukas medvetet eller av misstag. Examensarbetets mål är att avgöra hur man kan förhindra missbruk av privilegier i NoSQL-databasen MongoDB. Tidigare studier har noterat vikten av åtkomstkontroll för att säkra databaser från missbruk av privilegier. Åtkomstkontroll är viktigt för att hantera och skydda åtkomlighet för de lagrade data samt begränsa obegränsad åtkomst. Därför analyserar arbetet MongoDBs inbäddade åtkomstkontroll genom experimentell testning för att testa olika inbyggda och avancerade priviligierade roller för att förhindra missbruk av privilegier. Resultaten indikerar att missbruk av privilegier kan förhindras om användare får roller som har färre privilegier. Dessutom visar resultaten att tilldelning av användare med obegränsade privilegier utsätter systemet för missbruk av privilegier. Studien understryker också att en felaktig tilldelning av privilegier eller behörigheter för databasanvändare kan få allvarliga konsekvenser för systemet och organisationen, såsom dataintrång och datamanipulation. Därför bör organisationer som använder informationsteknologi ha som plikt att skydda sina tillgångar och databaser från obehöriga men även företagets medarbetare som inte är beroende av datat genom policys för åtkomstkontroll.
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Heller, Stanislav. "MongoDB jako datové úložiště pro Google App Engine SDK." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-235455.
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In this thesis, there are discussed use-cases of NoSQL database MongoDB implemented as a datastore for user data, which is stored by Datastore stubs in Google App Engine SDK. Existing stubs are not very well optimized for higher load; they significantly slow down application development and testing if there is a need to store larger data sets in these storages. The analysis is focused on features of MongoDB, Google App Engine NoSQL Datastore and interfaces for data manipulation in SDK - Datastore Service Stub API. As a result, there was designed and implemented new datastore stub, which is supposed to solve problems of existing stubs. New stub uses MongoDB as a database layer for storing testing data and it is fully integrated into Google App Engine SDK.
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Landbris, Johan. "A Non-functional evaluation of NoSQL Database Management Systems." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-46804.
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NoSQL is basically a family name for all Database Management Systems (DBMS) that is not Relational DBMS. The fast growth of all social networks has led to a huge amount of unstructured data that NoSQL DBMS is supposed to handle better than Relational DBMS. Most comparisons performed are between Relational DBMS and NoSQL DBMS. In this paper, the comparison is about non-functional properties for different types of NoSQL DBMS instead. Three of the most common NoSQL types are Document Stores, Key-Value Stores and Column Stores. The most used DBMS of those types are MongoDB, Redis and Apache Cassandra. After working with the databases and performing YCSB Benchmarking the conclusion is that if the database should handle an enormous amount of data, Cassandra is most probably best choice. If speed is the most important property and if all data fits within the memory; Redis is probably the most well suited database. If the database needs to be flexible and versatile, MongoDB is probably the best choice.
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Andrén, Erik, and Sällberg Fanny Petersson. "Dokumentdatabaser i praktiken : En studie om användandet av MongoDB." Thesis, Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-8666.
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Informationshantering med dokumentdatabaser har ökat i omfattning de senaste åren och tekniken finns nu representerad bland de fyra mest använda databaserna i världen. Den här studien undersöker användningen av dokumentdatabaser samt vad som kan ligga bakom valet att börja använda dem. För att studera användandet av dokumentdatabaser har den mest populära dokumentdatabasen, MongoDB, valts ut som studiens undersökta fall. Studien har genomförts genom att studera litteratur och publicerat material om databastekniken samt genom att utföra intervjuer med användare av denna. MongoDB har beskrivits som lämplig för användning vid hantering av olika typer av applikationer eller system med ostrukturerad data och för användning i skalbara miljöer. Den har även beskrivits som lättillgänglig och enkel att lära sig då den har en gratisversion och mycket manualer på internet. Studien har visat att dokumentdatabaser kan användas för att hantera information i avgränsade miljöer så som mobil- eller webbapplikationer men även i skalbara system med stora mängder data. Dokumentdatabaser har visat sig motiveras för användning tack vare sin möjlighet att hantera flexibilitet i datastruktur och datavolym. För att kunna erbjuda flexibilitet kring struktur och volym har vissa avkall gjorts gällande transaktionssäkerhet och dataintegritet för dokumentdatabaser. Detta har kunnat påvisas som de främsta motiveringarna för användning av dokumentdatabaser men också som en av de främsta motiveringarna emot att använda dem.
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Kinnander, Mathias. "A comparison between MongoDB & CouchDB on search performance : A comparative analysis." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15415.
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When storing and handling Big Data sets a database management system (DBMS) can be implemented to administrate and query databases. The Swedish Internet is a big unstructured data set that contains all published Swedish Websites since the late 1990’s. NoSQL DBMSs such as MongoDB and CouchDB are particularly suited to store the Swedish Internet. Comparing the search performance of MongoDB and CouchDB in this scenario required the insertion of a subset of the Swedish Internet, querying of the data and measuring the search performance. The results show that CouchDB has in general a superior performance but comes with a drawback which is its indexation time. If a query will only be executed a few amount of times MongoDB is generally the better choice. Further studies needs to be conducted in order to assess the performance of NoSQL DBMSs over the whole dataset.
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El, Malki Mohammed. "Modélisation NoSQL des entrepôts de données multidimensionnelles massives." Thesis, Toulouse 2, 2016. http://www.theses.fr/2016TOU20139/document.
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Les systèmes d’aide à la décision occupent une place prépondérante au sein des entreprises et des grandes organisations, pour permettre des analyses dédiées à la prise de décisions. Avec l’avènement du big data, le volume des données d’analyses atteint des tailles critiques, défiant les approches classiques d’entreposage de données, dont les solutions actuelles reposent principalement sur des bases de données R-OLAP. Avec l’apparition des grandes plateformes Web telles que Google, Facebook, Twitter, Amazon… des solutions pour gérer les mégadonnées (Big Data) ont été développées et appelées « Not Only SQL ». Ces nouvelles approches constituent une voie intéressante pour la construction des entrepôts de données multidimensionnelles capables de supporter des grandes masses de données. La remise en cause de l’approche R-OLAP nécessite de revisiter les principes de la modélisation des entrepôts de données multidimensionnelles. Dans ce manuscrit, nous avons proposé des processus d’implantation des entrepôts de données multidimensionnelles avec les modèles NoSQL. Nous avons défini quatre processus pour chacun des deux modèles NoSQL orienté colonnes et orienté documents. De plus, le contexte NoSQL rend également plus complexe le calcul efficace de pré-agrégats qui sont habituellement mis en place dans le contexte ROLAP (treillis). Nous avons élargis nos processus d’implantations pour prendre en compte la construction du treillis dans les deux modèles retenus.Comme il est difficile de choisir une seule implantation NoSQL supportant efficacement tous les traitements applicables, nous avons proposé deux processus de traductions, le premier concerne des processus intra-modèles, c’est-à-dire des règles de passage d’une implantation à une autre implantation du même modèle logique NoSQL, tandis que le second processus définit les règles de transformation d’une implantation d’un modèle logique vers une autre implantation d’un autre modèle logiqueDecision support systems occupy a large space in companies and large organizations in order to enable analyzes dedicated to decision making. With the advent of big data, the volume of analyzed data reaches critical sizes, challenging conventional approaches to data warehousing, for which current solutions are mainly based on R-OLAP databases. With the emergence of major Web platforms such as Google, Facebook, Twitter, Amazon...etc, many solutions to process big data are developed and called "Not Only SQL". These new approaches are an interesting attempt to build multidimensional data warehouse capable of handling large volumes of data. The questioning of the R-OLAP approach requires revisiting the principles of modeling multidimensional data warehouses.In this manuscript, we proposed implementation processes of multidimensional data warehouses with NoSQL models. We defined four processes for each model; an oriented NoSQL column model and an oriented documents model. Each of these processes fosters a specific treatment. Moreover, the NoSQL context adds complexity to the computation of effective pre-aggregates that are typically set up within the ROLAP context (lattice). We have enlarged our implementations processes to take into account the construction of the lattice in both detained models.As it is difficult to choose a single NoSQL implementation that supports effectively all the applicable treatments, we proposed two translation processes. While the first one concerns intra-models processes, i.e., pass rules from an implementation to another of the same NoSQL logic model, the second process defines the transformation rules of a logic model implementation to another implementation on another logic model
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Bernabe, Gianni. "Progettazione di un sistema di prenotazione on line con DBMS NoSQL." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8265/.
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Rinhammar, Lisa. "Komplexa sökfrågor i MySQL och MongoDB : En jämförelse av svarstid mellan MySQL och MongoDB när olika komplexa sökfrågor utförs." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19094.
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Denna studie jämför relationsdatabasen MySQL med icke-relationsdatabasen MongoDB när komplexa sökfrågor ställs mot ett dataset som består av över 67 000 rader data. Problemet som uppstår blir att veta vilken av MySQL och MongoDB som presterar bäst och med kortast svarstider. För att ta reda på vilken av databaserna som har kortast svarstider har experiment utförts i en kontrollerad miljö, för att få ett så korrekt resultat som möjligt. Resultatet av experimentet blev att MySQL fick överlag kortast svarstider när komplexa sökfrågor ställdes. När en enkel sökfråga ställdes, fick MySQL och MongoDB nästintill identiska svarstider. Slutsatsen som drogs från denna studie var att MySQL fick snabbare svarstider än MongoDB när komplexa sökfrågor ställdes mot ett dataset som bestod av en stor mängd data.
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Gambella, Alice. "Analisi e sperimentazione del DBMS noSQL MongoDB: il caso di studio della Social Business Intelligence." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8295/.
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Il primo capitolo prevede un’introduzione sul modello relazionale e sulle difficoltà che possono nascere nel tentativo di conformare le esigenze attuali di applicazioni ed utenti ai vincoli da esso imposti per lasciare poi spazio ad un’ampia descrizione del movimento NoSQL e delle tecnologie che ne fanno parte; il secondo capitolo sarà invece dedicato a MongoDB, alla presentazione delle sue caratteristiche e peculiarità, cercando di fornirne un quadro apprezzabile ed approfondito seppure non completo e del tutto esaustivo; infine nel terzo ed ultimo capitolo verrà approfondito il tema della ricerca di testo in MongoDB e verranno presentati e discussi i risultati ottenuti dai nostri test.
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Nilsson, Christoffer, and John Bengtson. "Storage and Transformation for Data Analysis Using NoSQL." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142004.
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It can be difficult to choose the right NoSQL DBMS, and some systems lack sufficient research and evaluation. There are also tools for moving and transforming data between DBMS' in order to combine or use different systems for different use cases. We have described a use case, based on requirements related to the quality attributes Consistency, Scalability, and Performance. For the Performance attribute, focus is fast insertions and full-text search queries on a large dataset of forum posts. The evaluation was performed on two NoSQL DBMS' and two tools for transforming data between them. The DBMS' are MongoDB and Elasticsearch, and the transformation tools are NotaQL and Compose's Transporter. The purpose is to evaluate three different NoSQL systems, pure MongoDB, pure Elasticsearch and a combination of the two. The results show that MongoDB is faster when performing simple full-text search queries, but otherwise slower. This means that Elasticsearch is the primary choice regarding insertion and complex full-text search query performance. MongoDB is however regarded as a more stable and well-tested system. When it comes to scalability, MongoDB is better suited for a system where the dataset increases over time due to its simple addition of more shards. While Elasticsearch is better for a system which starts off with a large amount of data since it has faster insertion speeds and a more effective process for data distribution among existing shards. In general NotaQL is not as fast as Transporter, but can handle aggregations and nested fields which Transporter does not support. A combined system using MongoDB as primary data store and Elasticsearch as secondary data store could be used to achieve fast full-text search queries for all types of expressions, simple and complex.
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Sortelius, Erik, and Gabriellle Önnestam. "Påverkan av query-komplexitet på söktiden hos NoSQL-databaser." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15970.
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Arbetet jämför fyra olika NoSQL-databaser med fokus på tidseffektivitet. De fyra databaserna är MongoDB, RavenDB, ArangoDB och Couchbase. Studien består av en benchmark för att mäta tidseffektiviteten av de fyra databaserna och en litteraturstudie av hur tidseffektiviteten påverkas av optimeringslösningar. Tillsammans bidrar dessa metoder till en slutsats från båda perspektiven då de kompletterar varandra och ger en grund för resultatets betydelse. Arbetets grund ligger i ett tidigare examensarbete som går ut på att jämföra en SQL-databas mot en NoSQL-databas med en benchmark. Resultatet av studien visar att för de flesta databaser så ökar söktiden för en query i korrelation med ökningen av query-komplexiteten, och att tidseffektiviteten mellan de olika databaserna varierar vid sökningar med hög komplexitet. Framtida arbeten som kan baseras på denna studie är att göra en liknande benchmark på ett dataset som är större eller att en annan typ av databas används.
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Vizina, Petr. "NoSQL databáze pro data senzorů s podporou časových řad." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363797.
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This thesis deals with NoSQL databases, which can be used for effective storage of sensors data with character of time series. The aim is to design and implement own solution for database designed to store time series data, with usage of NoSQL.
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Henricsson, Robin. "Document Oriented NoSQL Databases : A comparison of performance in MongoDB and CouchDB using a Python interface." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5213.
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For quite some time relational databases, such as MySQL, Oracle and Microsoft SQL Server, have been used to store data for most applications. While they are indeed ACID compliant (meaning interrupted database transactions won't result in lost data or similar nasty surprises) and good at avoiding redundancy, they are difficult to scale horizontally (across multiple servers) and can be slow for certain tasks. With the Web growing rapidly, spawning enourmous, user-generated content websites such as Facebook and Twitter, fast databases that can handle huge amounts of data are a must. For this purpose new databases management systems collectively called NoSQL are being developed. This thesis explains NoSQL further and compares the write and retrieval speeds, as well as the space efficiency, of two database management systems from the document oriented branch of NoSQL called MongoDB and CouchDB, which both use the JavaScript Object Notation (JSON) to store their data within. The benchmarkings performed show that MongoDB is quite a lot faster than CouchDB, both when inserting and querying, when used with their respective Python libraries and dynamic queries. MongoDB also is more space efficient than CouchDB.
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Andersson, Fredrik. "Storing and structuring big data with businessintelligence in mind." Thesis, Linköpings universitet, Databas och informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121452.
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Sectra has a customer database with approximately 1600 customers across the world. In this system there exists not only medical information but alsoinformation about the environment which the system runs in, usage pattern and much more. This report is about storing data received from log les into a suitable database. Sectra wants to be able to analyze this information so that they can make strategic decisions and get a better understanding of their customers' needs. The tested databases are MongoDB, Cassandra, and MySQL. The results shows that MySQL is not suitable for storing large amount of data with the current conguration. On the other hand, both MongoDB and Cassandra performed well with the growing amount of data.
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Guerreri, Sara. "Mongodb tra i database non relazionali - focus su Map-Reduce e gestione della memoria." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8809/.
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Kharboutli, Zacky. "NoSQL Database Selection Focused on Performance Criteria for Web-driven Applications." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88608.
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This paper delivers a comparative analysis of the performance of three of the NoSQL technologies in Web applications. These technologies are graph stores, key-value stores, and document stores. The study aims to assist developers and organizationsin picking the suitable NoSQL solution for their application. For this purpose, three identical e-book applications were developed. Each of these is connected to adatabase from the selected technologies to examine how they perform compared toeach other against various performance measures.
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Salvatori, Riccardo. "Analisi delle strategie di modellazione dei dati su database NoSQL." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23172/.
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Negli ultimi anni, i sistemi NoSQL si sono rivelati una soluzione efficace alle stringenti esigenze del web e dei sistemi di big data, grazie alle caratteristiche di scalabilità e flessibilità che superano le limitazioni imposte dai classici RDBMS.
La crescente popolarità è accompagnata però dalla mancanza di metodologie generali ed efficaci per la modellazione di dati, che permettano di sfruttare al meglio le possibilità offerte dal mondo non relazionale. Infatti, a differenza dei database relazionali, per cui esiste una vasta letteratura sul tema, molte tecniche di progettazione in ambito NoSQL sono proposte sotto forma di linee guida e best practice, per lo più dettate dall'esperienza, che spesso vanno adattate al carico di lavoro e alla specifica implementazione.
In questa tesi sono state analizzate le diverse strategie di modellazione in ambito NoSQL, evidenziando il ruolo fondamentale che hanno nel determinare le prestazioni finali del database.
L'analisi è stata effettuata utilizzando il benchmark TPC-C, su due popolari database NoSQL: MongoDB e Cassandra.
Inoltre, è stato progettato un indicatore che permette di avere un'approssimazione a priori delle prestazioni di una de-normalizzazione. L'indicatore si è dimostrato efficace per i database MongoDB e Cassandra nell'individuare le modellazioni dei dati ottimali per il carico di lavoro previsto.
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Ranocchini, Alessandro. "Confronto di performance tra applicazioni web SQL e NoSQL su grandi quantità di dati." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6670/.
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Lo scopo di questa tesi è di mettere a confronto le performance, su grandi quantità di dati, tra applicazioni web basate su database a modello relazionale, noti come RDBMS, e applicazioni web basate su database a modello non-relazionale, meglio conosciuti con l'appellativo NoSQL.
Sono stati selezionati sette casi d'uso appartenenti ad una applicazione reale per effettuare il confronto di prestazioni tra i seguenti database: MySQL, Microsoft SQL Server, OrientDB, MongoDB e BaseX.
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Bianchi, Manuel. "MongoDB: analisi e prototipazione su applicazioni di social business intelligence." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5965/.
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L’ultimo decennio ha visto un radicale cambiamento del mercato informatico, con la nascita di un numero sempre maggiore di applicazioni rivolte all’interazione tra utenti. In particolar modo, l’avvento dei social network ha incrementato notevolmente le possibilità di creare e condividere contenuti sul web, generando volumi di dati sempre maggiori, nell’ordine di petabyte e superiori. La gestione di tali quantità di dati ha portato alla nascita di soluzioni non relazionali appositamente progettate, dette NoSQL. Lo scopo di questo documento è quello di illustrare come i sistemi NoSQL, nello specifico caso di MongoDB, cerchino di sopperire alle difficoltà d’utilizzo dei database relazionali in un contesto largamente distribuito. Effettuata l'analisi delle principali funzionalità messe a disposizione da MongoDB, si illustreranno le caratteristiche di un prototipo di applicazione appositamente progettato che sfrutti una capacità peculiare di MongoDB quale la ricerca full-text. In ultima analisi si fornirà uno studio delle prestazioni di tale soluzione in un ambiente basato su cluster, evidenziandone il guadagno prestazionale.
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Håkansson, Peter. "Benchmarking av CassandraDB & MongoDB med e-sport data-set." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19899.
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Denna studie har benchmarkat NoSQL systemen MongoDB och CassandraDB via en webbapplikation. NoSQL system är databassystem som har en partitionstolerans förmåga, vilket betyder att NoSQL system har en förmåga att fördela ett data-set över flera hårddiskar. Vad som har benchmarkats är tiden det tar för systemen att behandla olika slumpgenererade serverfrågor. Utförandet av studien har skett via en webbapplikation vilket erbjuds av en Windows maskin. Studie har bedrivits helt lokalt så denna Windows maskin agerar som värd för databassystemen samt som maskinen som utför mätserierna. Hypotesen förespår att NoSQL systemet MongoDB ska ha bättre förmåga att hantera det valda E-sport data-set. Resultatet från studien tyder på att MongoDB kan utföra testfallen under kortare period, men studie upplyser samt om att det finns användningsområden för CassandraDB systemet. Detta arbete kan vara användbart för framtida studier vars forskning ska utvärdera NoSQL system.
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Vrbík, Tomáš. "Srovnání distribuovaných "NoSQL" databází s důrazem na výkon a škálovatelnost." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124673.
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This paper focuses on NoSQL database systems. These systems currently serve rather as supplement than replacement of relational database systems. The aim of this paper is to compare 4 selected NoSQL database systems (MongoDB, Apache Cassandra, Apache HBase and Redis) with a main focus on performance and scalability. Performance comparison is done using simulated workload in a 4 nodes cluster environment. One relational SQL database is also benchmarked to provide comparison between classic and modern way of maintaining structured data. As the result of comparison I found out that none of these database systems can be labeled as "the best" as each of the compared systems is suitable for different production deployment.
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Candini, Fabrizio. "Progettazione di database con Mysql e MongoDB: analisi di prestazioni su un caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8939/.
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Analisi di prestazioni di un database costruito con MongoDB e uno con Mysql residenti su due macchine virtuali uguali configurate appositamente per i test di inserimento, interrogazione e eliminazione.
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Sykes, Adam. "Jämförelse av NoSQL databaser i en Node.js REST api : Med fokus på att hämta data." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18821.
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Följande arbete jämför databashanterarna MongoDB och Couchbase responstid i att hämta data i en Node.js REST api. Datasetet har en enkel struktur och består av befolkningsdata. Jämförelsen ska svara på vilken av dessa databashanterare som har kortast responstid i att hämta befolkningsdata i en Node.js REST api, eftersom responstiden är väldigt viktig för användare. Testet sker med egenutvecklade script och mäter tiden det tar att skicka en begäran till REST api:t och visa den hämtade datan på webbläsaren. REST api:t består av 5 endpoints vilket testades 6000 gånger var för MongoDB och Couchbase. MongoDB hade kortast responstid på samtliga test. I framtida arbeten kan resten av CRUD operationerna testas och då inte bara att hämta data, långsiktig kan datasetet ändras för att kunna testa mer komplexa sökfrågor.
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Möller, Nils. "Binary Large Objects i MongoDB och MariaDB : En komparativ studie över komplexitet och prestanda." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78472.
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Syftet med denna uppsats var att jämföra två olika databashanteringssystem, MongoDB samt MariaDB, utifrån specifika krav från en uppdragsgivare gällande prestanda samt komplexitet. Då MariaDB är ett SQL-databashanteringssystem och MongoDB ett NoSQLdatabashanteringssystem som bygger på olika databasmodeller behandlas data på olika sätt, vilket ligger som grund till jämförelsen mellan de olika databashanteringssystemen. Uppsatsen fokuserar på att utifrån fyra olika tester, två prestandatestet och två tester som jämför komplexiteten, kunna jämföra databashanteringssystemen MariaDB och MongoDB. Dessa databashanteringssystem ställdes emot de angivna kraven från uppdragsgivaren för att se vilket av dem som är bäst lämpat. Två olika applikationer utvecklades med hjälp av C# och användes under testerna för att utföra testerna. Efter att testerna utförts rekommenderades MongoDB till uppdragsgivaren på grund av den prestandafördel som testerna visade på i långsiktig användning av systemet. Även komplexiteten för MongoDB visade sig vara mindre vilket stärker rekommendationen ytterligare.
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Zhao, Yidan. "An Improved Design and Implementation of the Session-based SAMBO with Parallelization Techniques and MongoDB." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141810.
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The session-based SAMBO is an ontology alignment system involving MySQL to store matching results. Currently, SAMBO is able to align most ontologies within acceptable time. However, when it comes to large scale ontologies, SAMBO fails to reach the target. Thus, the main purpose of this thesis work is to improve the performance of SAMBO, especially in the case of matching large scale ontologies. To reach the purpose, a comprehensive literature study and an investigation on two outstanding large scale ontology system are carried out with the aim of setting the improvement directions. A detailed investigation on the existing SAMBO is conducted to figure out in which aspects the system can be improved. Parallel matching process optimization and data management optimization are determined as the primary optimization goal of the thesis work. In the following, a few relevant techniques are studied and compared. Finally, an optimized design is proposed and implemented. System testing results of the improved SAMBO show that both parallel matching process optimization and data management optimization contribute greatly to improve the performance of SAMBO. However the execution time of SAMBO to align large scale ontologies with database interaction is still unacceptable.
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Linnarsson, Gustaf. "En prestandajämförelse mellan databaskopplingar i R." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11656.
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De traditionella databaserna har sedan länge varit byggda på relationsdatamodellen och skrivna i SQL. Men ju större datamängder det började komma desto mer kapacitet behövdes för att kunna lagra dessa, därför skapades NoSQL. Eftersom det blev sådana stora datamängder så blev det naturligtvis intressant att analysera all data. Men då det är sådana enorma mängde data så är det omöjligt att gå igenom rad för rad. Inom statistik och analys världens så finns det en rad olika hjälpmedel, ett av dessa är R. Den här studien kommer att försöka ta reda på om det finns något databasalternativ som är bättre än det på att arbeta tillsammans med R. Syftet är att kunna ge företag och privatpersoner en bra bild om vad de skall välja när det kommer till databasalternativ hur de på enklast sätt skall kunna plocka in data för analys genom ett experiment. Resultatet av experimentet visar att MySQL var det snabbare alternativet för den datamängd som användes. Troligtvis kommer det att skifta om större datamängder testas.
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Åstrand, Gustav. "Realtidsbaserad kollaborativ webbapplikation för modellering av UML-diagram : Mätning på uppdateringstid vid förändring i ett delat objekt." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13652.
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En realtidsbaserad kollaborativ webbapplikation kategoriseras som en molntjänst och en molntjänst består utav en webbapplikation och en eller flera databaser. MongoDB som används i projektet är en icke-relationsdatabas. För att uppnå realtid används verktyget HTML5 WebSockets. Problemet är att hur ska den realtidsbaserade kollaborativa webbapplikationen byggas upp för att kunna uppdatera datan så snabbt som möjligt vid förändring. Databaserna som testas mot varandra är MySQL mot MongoDB och för att testa databaserna byggs en realtidsbaserad kollaborativ webbapplikation för modellering av UML-diagram. För att testa hypotesen utförs ett experiment och experimentet påvisade att hypotesen stämde delvis. MongoDB är snabbar på att uppdatera ett specifikt objekt jämfört med MySQL i tre av fyra testfall och för att hämta all data presterar databaserna nästan identiskt i alla testfallen. För fortsatt arbete är de intressant att testa en större datamängd och se hur det påverkar hämtningstiden när all data hämtas från databaserna.
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Paoloni, Luca. "Estrazione automatica degli schemi di una collection all’interno di un DBMS NoSql e calcolo delle dipendenze funzionali tra gli attributi dello schema." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18511/.
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I database senza uno schema preciso e in particolare i database orientati ai documenti sono preferibili rispetto a quelli relazionali per l'archiviazione di dati eterogenei con schemi e forme strutturali variabili. Tuttavia, l'assenza di uno schema univoco aggiunge complessità alle applicazioni analitiche, in cui una singola analisi spesso coinvolge grandi insiemi di dati con schemi diversi. In questo contesto proponiamo un approccio originale a OLAP su collection archiviate in database orientati ai documenti. L'idea di base è smettere di essere limitati dalla varietà degli schemi, accogliendola come una fonte intrinseca di ricchezza di informazioni. Il nostro approccio si basa su quattro fasi: estrazione dello schema, integrazione dello schema, calcolo delle dipendenze funzionali, interrogazione; queste fasi sono discusse in dettaglio nel documento. Per sensibilizzare gli utenti sull'impatto della varietà dello schema, proponiamo un set di indicatori correlati, ad esempio, per verificare completezza e precisione.
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Kola, Marin. "Progettazione ed implementazione di un database per la gestione della mappa della connettivita urbana utilizzando tecnologie nosql." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9696/.
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Nella tesi, inizialmente, viene introdotto il concetto di Big Data, descrivendo le caratteristiche principali, il loro utilizzo, la provenienza e le opportunità che possono apportare.
Successivamente, si sono spiegati i motivi che hanno portato alla nascita del movimento NoSQL, come la necessità di dover gestire i Big Data pur mantenendo una struttura flessibile nel tempo. Inoltre, dopo un confronto con i sistemi tradizionali, si è passati al classificare questi DBMS in diverse famiglie, accennando ai concetti strutturali sulle quali si basano, per poi spiegare il funzionamento.
In seguito è stato descritto il database MongoDB orientato ai documenti. Sono stati approfonditi i dettagli strutturali, i concetti sui quali si basa e gli obbiettivi che si pone, per poi andare ad analizzare nello specifico importanti funzioni, come le operazioni di inserimento e cancellazione, ma anche il modo di interrogare il database.
Grazie alla sue caratteristiche che lo rendono molto performante, MonogDB, è stato utilizzato come supporto di base di dati per la realizzazione di un applicazione web che permette di mostrare la mappa della connettività urbana.
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Gallegati, Mattia. "Generazione di isocrone ed elaborazione di indicatori statistici con strumenti NoSql in ambiente BigData." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
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L'elaborato propone l'analisi e la riprogettazione di un'applicazione di calcolo di dati statistici inferiti sulla base di mappe geografiche isocrone, isometriche e circolari tramite l'utilizzo di strumenti non relazionali (NoSQL).
L'informatica e l'analisi del tessuto morfologico,economico e geografico del territorio si troveranno qui a stretto contatto ed entrambi risulteranno elementi imprescindibili ai fini dello sviluppo dell'applicativo finale.
Il lavoro espone una lunga analisi di molti strumenti NoSQL attualmente disponibili e l'utilizzo approfondito di Neo4j e MongoDb leader nel mondo non relazionale.
Durante lo sviluppo apparirà necessaria l'implementazione di un nuovo algoritmo per il calcolo delle isocrone che si aggiungerà all'insieme di strumenti già disponibili nel mondo non relazionale.
Il risultato finale sarà un applicativo in grado di migliorare del 80% le prestazioni proposte dal precedente strumento, sviluppato con strumenti relazionali.
Saranno garantite completezza, flessibilità, scalabilità e facilità di integrazione all'interno di qualsiasi contesto.
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Ballo, Mattia. "Big data, nosql e machine learning: un'applicazione di prediction e recommendation basata sulle api di Amazon." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9693/.
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In questa tesi sono stati introdotti e studiati i Big Data, dando particolare importanza al mondo NoSQL, approfondendo MongoDB, e al mondo del Machine Learning, approfondendo PredictionIO. Successivamente è stata sviluppata un'applicazione attraverso l'utilizzo di tecnologie web, nodejs, node-webkit e le tecnologie approfondite prima. L'applicazione utilizza l'interpolazione polinomiale per predirre il prezzo di un bene salvato nello storico presente su MongoDB. Attraverso PredictionIO, essa analizza il comportamento degli altri utenti consigliando dei prodotti per l'acquisto. Infine è stata effetuata un'analisi dei risultati dell'errore prodotto dall'interpolazione.
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Righi, Massimo. "apache cassandra: studio ed analisi di prestazioni." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16713/.
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La tesi persegue due scopi: il primo è veri�care sperimentalmente l'incremento di performance che si può avere nell'utilizzare un database di tipo NoSql (MongoDB e Cassandra) rispetto a uno relazionale (MYSQL) lavorando con grandi quantità di dati.
Il secondo, invece, si propone di confrontare (sempre sperimentalmente) l'utilizzo di due tipi di database della famiglia dei NoSql, ovvero MongoDB, basato su un architettura Document-oriented, e Cassandra (in forte sviluppo), della famiglia dei Column-oriented.
Nella prima parte della tesi verranno esposte le caratteristiche tecniche delle due famiglie di database utilizzate: relazionale e NoSql. In particolare, per il gruppo NoSql, verrà fornita una descrizione più dettagliata, classi�ficando i sottogruppi che ne fanno parte in base al tipo di modello che utilizzano per la memorizzazione dei dati. Verrà posta molta attenzione sul database Cassandra.
Nella seconda parte verranno effettuate le analisi tecniche di performance per ogni tipo di database basandosi sulle 4 operazioni CRUD, partendo da un caso d'uso da me scelto.
Al termine delle analisi verranno stilate delle conclusioni relativamente a pregi e difetti di ognuna delle tre tecnologie.
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Hellenberg, Rickard. "Improving the Performance of the Eiffel Event Persistence Solution." Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161256.
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Deciding which database management system (DBMS) to use has perhaps never been harder. In recent years there has been an explosive growth of new types of database management systems that address different issues and performs well for different scenarios. This thesis is an improving case study of an Event Persistence Solution for the Eiffel Framework, which is a framework used for achieving traceability in very-large-scale systems development. The purpose of this thesis is to investigate whether it is possible to improve the performance of the Eiffel Event Persistence Solution by changing from MongoDB, to Elasticsearch or ArangoDB. Experiments were conducted to measure the request throughput for 4 types of requests. As a prerequisite to measuring the performance, support for the different DBMSs and the possibility to change between them was implemented. The results showed that Elasticsearch performed better than MongoDB in terms of nested-document-search as well as for graph-traversal operations. ArangoDB had even better performance for graph-traversal operations but had an inadequate performance for nested-document-search.决定使用哪个数据库管理系统（DBMS）可能从未如此困难过。近年来，新型数据库管理系统呈现爆炸式增长，它们解决了不同的问题，并在不同的情境中表现出优异性能。本论文是针对Eiffel框架的事件持久性解决方案的改进案例研究，该框架被用于实现超大规模系统开发中的可追溯性。本文的目的是研究是否可以通过摒弃MongoDB并改用Elasticsearch或ArangoDB来提高Eiffel事件持久性解决方案的性能。为测量4种类型的请求的请求吞吐量进行了实验。作为衡量性能的前提条件，实施了对不同数据库管理系统（可在这些系统之间进行更换）的支持。结果表明，Elasticsearch在嵌套文档搜索和图形遍历操作方面的性能均优于MongoDB。 ArangoDB在图形遍历操作方面具有比前者更好的性能，但在嵌套文档搜索方面的性能不佳。
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Vais, Zdeněk. "Návrh a implementace rozhraní pro zpracování rámců xPON." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413093.
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This thesis focuses on system for persistence of GPON communication. Theoretical part deals with problems of GPON and NG-PON optical networks, NoSQL database systems and MongoDB database. Practical part contains design of a database schema for MongoDB database and source code in programming languages Python and C# for working with this database. The thesis is finalized by performance testing, proving that the database design and source code implementation is capable of handling real world traffic.
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Bäcklin, Staffan. "Jämförelse av svarstider för olika bilddatabaser för Javabaserade http-servrar." Thesis, Högskolan Väst, Avdelningen för data-, elektro- och lantmäteriteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-9829.
Full textAbstract:
Denna kandidatuppsats berör databaser i javabaserade bildhanteringssystem där bilderna lagras och hämtas som binära objekt. I MySQL och en del andra databashanterare kallas detta format för Blob(Binary large object). För att bildhanteringssystemet skall fungera bra krävs det att man använder en snabb databas. Syftet har varit att av ett urval databaser utse den databas som är snabbast i avseende på svarstider för hämtning av bilder som lagras som binära objekt i databaser. Databaserna är de fyra välkända databashanterarna MySQL, MariaDB, PostGreSQL och MongoDB. Testerna har utförts med databaserna integrerade i Javabaserade klient-server moduler för att så mycket som möjligt spegla de villkor som förekommer i ett bildhanteringssystem. De testverktyg som har använts är JMeter som är en avancerad applikation för mätning av svarstider och PerfMon som övervakar åtgång av systemresurser. MongoDB var den snabbaste bilddatabasen men det finns många osäkerhetsfaktorer som måste beaktas vilket också beskrivs i denna kandidatuppsats. Trots att många åtgärder för att motverka osäkerhetsfaktorerna har gjorts, förblir mätosäkerheten stor. Mer åtgärder för att isolera databasernas del av svarstiderna i ett klient-server system måste göras. Förslag på åtgärder redogörs i denna kandidatuppsats.This bachelor thesis concerns databases in Java-based imaging system where the images are stored and retrieved as binary objects. In MySQL and in some other database management systems this format is called Blob (Binary Large Object). For the imaging system to work well, it is necessary to use a fast database. The aim has been that out of a sample of databases designate the database that is the fastest in terms of response times for downloading images stored as binary objects in databases. The databases are the four well-known database management systems MySQL, MariaDB, PostgreSQL and MongoDB. The tests have been conducted with the databases integrated into Java-based client-server modules in order to as much as possible mirror the conditions prevailing in an imaging system. The test tool that has been used is JMeter which is an advanced application for measuring response times and PerfMon to monitor the consumption of system resources. MongoDB was the fastest image database, but there are many uncertainties that must be considered, which is also explained in this bachelor thesis. Although many measures to counter the uncertainties have been made, the measurement uncertainty remains big. Further measures to isolate the database part of the response times in a client-server system must be made. Proposed measures are described in this bachelor thesis.
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Ekberg, Albin, and Jacob Holm. "Effektiv och underhållssäker lagring av medicinsk data." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107331.
Full textAbstract:
Creating a database to manage medical data is not the easiest. We create a database to be used for a presentation tool that presents medical data about patients that is stored in the database. We examine which of the three databases, MySQL with relational design, MySQL with EAV design and MongoDB that are best suited for storing medical data. The analysis i performed in two steps. The first step handles the database that is most effective to retriev data. The second step examines how easy it is to change the structure of the various databases. The results show that depending on whether efficiency or maintenance is most important, different databases are the best choise. MySQL with relational design proves to be most effective while MongoDB is the easiest to maintain.
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Jordaan, Pieter Willem. "Synthesis and evaluation of a data management system for machine-to-machine communication." Thesis, North-West University, 2013. http://hdl.handle.net/10394/9073.
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A use case for a data management system for machine-to-machine communication was defined. A centralized system for managing data flow and storage is required for machines to securely communicate with other machines.
Embedded devices are typical endpoints that must be serviced by this system and the system must, therefore, be easy to use. These systems have to bill the data usage of the machines that make use of its services.
Data management systems are subject to variable load and must there- fore be able to scale dynamically on demand in order to service end- points. For robustness of such an online-service it must be highly available.
By following design science research as the research methodology, cloud-based computing was investigated as a target deployment for such a data management system in this research project. An implementation of a cloud-based system was synthesised, evaluated and tested, and shown to be valid for this use case. Empirical testing and a practical field test validated the proposal.Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.
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Ibragimov, Ahliddin. "Vývoj webové aplikace pomocí moderních technologií." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-260636.
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This thesis covers the development of web applications with modern programming languages and technologies.
The objective of thesis is the research and analysis of modern technologies and subsequent selection of particular programming languages, frameworks and database for development of web application applying those techniques.
Based on analysis of modern trends I chose the following technologies: backend development using popular Spring framework based on Java EE, frontend implementation using one of the most widespread scripting languages JavaScript and its known framework AngularJS developed by Google. For data persistence I chose NoSQL database MongoDB. I provided detailed documentation of each implementation step: project definition, requirements analysis, design, implementation and testing.
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Rappini, Alessandro. "Studio ed analisi di soluzioni di localizzazione indoor multi sorgente basate su tecniche di fingerprint." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13302/.
Full textAbstract:
L'argomento principale di questa tesi è la localizzazione indoor, affrontata mediante la creazione di un'applicazione Android con il fine ultimo di localizzare un'utente all'interno di un ambiente chiuso. Le funzionalità principali che l'applicazione svolge sono due, analizzare un ambiente per raccogliervene i dati, ed riutilizzarli per fini localizzativi. Nella prima parte l'applicazione rileva i dati di un ambiente. I dati provengono da Access Point, Beacon Bluetooth e Rete Cellulare, tali dati sono salvati in un database in MongoDB. Le informazioni archiviate nella banca dati sono associate al nome dell'edificio e dell'ambiente nel quale i dati sono stati rilevati. Nella seconda parte dell'applicazione i dati archiviati nel database vengono confrontati con dei nuovi, rilevati nel momento in cui un'utente desidera localizzarsi. Il confronto dei dati avviene con l'ausilio di algoritmi di Pattern Matching. Gli algoritmi che analizzano i dati sono stati valutati sulla base del loro successo al fine di ottenere quale tra quelli usati detiene un risultato migliore.
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Toscano, Antonio Christian. "Progettazione e Sviluppo di un Sistema per la Raccolta e Tracciamento di Dati in Ambito Ostetrico." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18098/.
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La tesi si colloca nell'ambito del progetto CERERE e ha avuto come obbiettivo il progetto e lo sviluppo di un sistema informatico per la raccolta e il tracciamento delle informazioni delle pazienti in travaglio di parto. Il lavoro di tesi riprende le diverse fasi dell' Ingegneria del Software, ovvero analisi dei requisiti, progettazione, implementazione e testing, per esporre quali sono i passaggi che hanno portato allo sviluppo del sistema informatico in questione.
I dispositivi coinvolti sono di diversa natura in quanto vi è una parte di backend, che fornisce il servizio di gestione e memorizzazione dei dati e permette di autenticare gli utenti, e una parte di frontend, che si basa sull'utilizzo dell'applicazione sviluppata per sistema Android.
Le tecnologie utilizzate sono Vert.x, MongoDB, l'SDK del sistema Android, Volley e l'implementazione di una WebSocket.
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De, Rose Andrea. "Progettazione e realizzazione di un Software Customer Relationship Management (CRM)." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17024/.
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Sviluppo di una applicazione web in ambiente ASP.NET MVC collegata ad un database MongoDB per il Customer Relationship Management, in particolare per la gestione delle candidature per le posizioni lavorative dell'azienda forlivese Axot S.R.L. che si occupa di web developement per piccole e grandi aziende in vari settori economici.
Tramite il nuovo sistema, i responsabili Human Resources possono analizzare le candidature pervenute dal sito web, organizzare colloqui ed inviare i candati ai clienti.
La tesi è strutturata in analisi, progettazione, implementazione, test ed installazione del sistema.
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Moravec, Michal. "Prohlížečová hra s umělou inteligencí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-399178.
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Thesis describes design and implementation of a web browser game, which can be played by multiple players via the internet. The main goal is to manage the economy, although players can cooperate (trading) or play against each other (battles). NoSQL database is used for persistent storage of progress, which is also described in the thesis. Apart from human players there are also agents/bots, which play the game autonomously via state machines generated by genetic algorithms. Paper describes design and functionality of either the genetic algorithms, but also the state machines.
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Šoulák, Martin. "Systém pro analýzu a vyhodnocení jízd autoškoly." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363898.
Full textAbstract:
The objective of this master thesis is to design and develop a real-time storage system for geographic data from driving school trips. The system provides tools for analysis and evaluation of practice trips. This system is an extension of the DoAutoskoly.cz project which is described in the text. The next part contains an introduction to geographical data, spatial data and available databases with spatial extensions. The understanding to spatial databases is very important for the system design, an explanation of a solution for a database layer and implementation of major parts. Solution for a graphical view of the results and possible extensions of the system are described in the last part of this thesis.