Academic literature on the topic 'Document-oriented Databases'

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Journal articles on the topic "Document-oriented Databases"

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Ji, Lim Fung, and Nurulhuda Firdaus Mohd Azmi. "Migrating data from document-oriented database to graph-oriented database." Multidisciplinary Science Journal 5 (August 10, 2023): 2023ss0105. http://dx.doi.org/10.31893/multiscience.2023ss0105.

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In data migration between different types of NoSQL databases, data may not be directly transferred to the targeted database compared to migration of data between the same types of database. This is due to the heterogeneity of the storage paradigm of the NoSQL databases. For example, when migrating data from a document-oriented database such as MongoDB, which stores data in JSON (Java Object Notation) format to Neo4j, a graph-oriented database stores data in nodes, the differences among these databases’ storage paradigms require different representations of the data model in the targeted graph-oriented database. This paper proposed a sequential approach to migrate data from MongoDB to Neo4j. The approach migrates MongoDB data to Neo4j and verifies the migrated data using a comparative method. The paper discusses the migration algorithm and how complex fields in MongoDB, such as nested documents, are presented in Neo4j.
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Gallinucci, Enrico, Matteo Golfarelli, and Stefano Rizzi. "Schema profiling of document-oriented databases." Information Systems 75 (June 2018): 13–25. http://dx.doi.org/10.1016/j.is.2018.02.007.

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Suma, Sugimiyanto, and Fahad Alqurashi. "A comparison study of NoSQL document-oriented database system." International Journal of Applied Mathematical Research 8, no. 1 (2019): 27. http://dx.doi.org/10.14419/ijamr.v8i1.29434.

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By increasing data generation at these day, requirement for a sufficient storage system are strongly needed by stakeholders to store and access huge number of data in efficient way for fast analysis and decision. While RDBMS cannot deal with this challenge, NoSQL has emerged as a solution to address this challenge. There have been plenty of NoSQL database engine with their categories and characteristics, especially for document-oriented database. However, it makes a confusion for the system developer to choose the appropriate NoSQL database for their system. This paper is our preliminary report to provide a comparison of NoSQL databases. The comparison is based on performance of execution time which is measured by building a simple program. This experiment was done in our local cluster by exploiting around 1 million datasets. The result shows that RDB has better performance than CDB in terms of execution time.
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Moukhi, Nawfal El, Ikram El Azami, and Soufiane Hajbi. "Towards a new hybrid approach for building document-oriented data warehouses." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6423. http://dx.doi.org/10.11591/ijece.v12i6.pp6423-6431.

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<span lang="EN-US">Schemaless databases offer a large storage capacity while guaranteeing high performance in data processing. Unlike relational databases, which are rigid and have shown their limitations in managing large amounts of data. However, the absence of a well-defined schema and structure in not only SQL (NoSQL) databases makes the use of data for decision analysis purposes even more complex and difficult. In this paper, we propose an original approach to build a document-oriented data warehouse from unstructured data. The new approach follows a hybrid paradigm that combines data analysis and user requirements analysis. The first data-driven step exploits the fast and distributed processing of the spark engine to generate a general schema for each collection in the database. The second requirement-driven step consists of analyzing the semantics of the decisional requirements expressed in natural language and mapping them to the schemas of the collections. At the end of the process, a decisional schema is generated in JavaScript object notation (JSON) format and the data loading with the necessary transformations is performed.</span>
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Nawfal, El Moukhi, El Azami Ikram, and Hajbi Soufiane. "Towards a new hybrid approach for building document-oriented data wareh." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 6423–31. https://doi.org/10.11591/ijece.v12i6.pp6423-6431.

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Schemaless databases offer a large storage capacity while guaranteeing high performance in data processing. Unlike relational databases, which are rigid and have shown their limitations in managing large amounts of data. However, the absence of a well-defined schema and structure in not only SQL (NoSQL) databases makes the use of data for decision analysis purposes even more complex and difficult. In this paper, we propose an original approach to build a document-oriented data warehouse from unstructured data. The new approach follows a hybrid paradigm that combines data analysis and user requirements analysis. The first data-driven step exploits the fast and distributed processing of the spark engine to generate a general schema for each collection in the database. The second requirement-driven step consists of analyzing the semantics of the decisional requirements expressed in natural language and mapping them to the schemas of the collections. At the end of the process, a decisional schema is generated in JavaScript object notation (JSON) format and the data loading with the necessary transformations is performed.
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Winaya, I. Gede, and Ahmad Ashari. "Transformasi Skema Basis Data Relasional Menjadi Model Data Berorientasi Dokumen pada MongoDB." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 10, no. 1 (2016): 47. http://dx.doi.org/10.22146/ijccs.11188.

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MongoDB is a database that uses document-oriented data storage models. In fact, to migrate from a relational database to NoSQL databases such as MongoDB is not an easy matter especially if the data are extremely complex. Based on the documentation that has been done by several global companies related to the use of MongoDB, it can be concluded that the process of migration from RDBMS to MongoDB require quite a long time. One process that takes quite a lot is transformation of relational database schema into a document-oriented data model on MongoDB. This research discusses the development transformation system of relational database schema to the document oriented data model in MongoDB. The process of transformation is done by utilizing the structure and relationships between tables in the scheme as the main parameters of the modeling algorithm. In the process of the modeling documents, it necessary to adjustments the specifications of MongoDB document that formed document model can be implemented in MongoDB. Document models are formed from transformation process can be a single document, embedded document, referenced document or combination of these. Document models are formed depending on the type, rules, and the value of the relationships cardinality between tables in the relational database schema.
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Calatrava, Carlos Garcia, Yolanda Becerra Fontal, Fernando M. Cucchietti, and Carla Diví Cuesta. "NagareDB: A Resource-Efficient Document-Oriented Time-Series Database." Data 6, no. 8 (2021): 91. http://dx.doi.org/10.3390/data6080091.

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The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track of specific assets along time, ranging from factory machinery, device location, or even people. Gathering this data has become crucial for a wide number of applications, like exploration dashboards or Machine Learning techniques, such as Anomaly Detection. Time-Series Databases, designed to handle these data, grew in popularity, becoming the fastest-growing database type from 2019. In consequence, keeping track and mastering those rapidly evolving technologies became increasingly difficult. This paper introduces the holistic design approach followed for building NagareDB, a Time-Series database built on top of MongoDB—the most popular NoSQL Database, typically discouraged in the Time-Series scenario. The goal of NagareDB is to ease the access to three of the essential resources needed to building time-dependent systems: Hardware, since it is able to work in commodity machines; Software, as it is built on top of an open-source solution; and Expert Personnel, as its foundation database is considered the most popular NoSQL DB, lowering its learning curve. Concretely, NagareDB is able to outperform MongoDB recommended implementation up to 4.7 times, when retrieving data, while also offering a stream-ingestion up to 35% faster than InfluxDB, the most popular Time-Series database. Moreover, by relaxing some requirements, NagareDB is able to reduce the disk space usage up to 40%.
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Aggoune, Aicha, and Mohamed Sofiane Namoune. "P3 Process for Object-Relational Data Migration to NoSQL Document-Oriented Datastore." International Journal of Software Science and Computational Intelligence 14, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijssci.309994.

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The exponential growth of complex data in object-relational databases (ORDB) raises the need for efficient storage with scalability, consistency, and partition tolerance. The migration towards NoSQL (not only structured query language) datastores is the best fit for distributed complex data. Unfortunately, very few studies provide solutions for ORDB migration to NoSQL. This paper reports on how to achieve the migration of complex data from ORDB to a document-oriented NoSQL database. The proposed approach focused on the P3 process that involves three major stages: (P1) the preprocessing stage to access and extract the database features using SQL queries, (P2) the processing stage to provide the data mapping by using a list of mapping rules between the source and target models, and (P3) the post-processing stage to store and request the migrated data within the NoSQL context. A thorough experiments on two real-life databases veriðes the P3 process improves the performance of data migration with complex schema structures.
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Gallinucci, Enrico, Matteo Golfarelli, and Stefano Rizzi. "Approximate OLAP of document-oriented databases: A variety-aware approach." Information Systems 85 (November 2019): 114–30. http://dx.doi.org/10.1016/j.is.2019.02.004.

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Datt, Niteshwar. "Comparative Study of CouchDB and MongoDB – NoSQL Document Oriented Databases." International Journal of Computer Applications 136, no. 3 (2016): 24–26. http://dx.doi.org/10.5120/ijca2016908457.

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Dissertations / Theses on the topic "Document-oriented Databases"

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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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Klapač, Milan. "Výhody a nevýhody relačních a nerelačních (noSQL) databází pro analytické úlohy." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-193931.

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This work focuses on NoSQL databases, their use for analytical tasks and on comparison of NoSQL databases with relational and OLAP databases. The aim is to analyse the benefits of NoSQL databases and their use for analytical purposes. The first part presents the basic principles of Business Intelligence, Data Warehousing, and Big Data. The second part deals with the key features of relational and NoSQL databases. The last part of the thesis describes the properties of four basic types of NoSQL databases, analyses their advantages, disadvantages and areas of application. The end of this part in-cludes specific examples of the use of NoSQL databases, together with the reasons for the selection of those solutions.
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Schuhart, Henrike. "Design and implementation of a database programming language for XML-based applications." Berlin Aka, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2890794&prov=M&dok_var=1&dok_ext=htm.

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Hejtmánková, Kateřina. "Využití MongoDB s Node.js." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-203911.

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The aim of my thesis is to provide a collection of examples about document oriented MongoDB database using Node.js platform, specifically using the Mongoose program, for object-document mapping (ODM). The aim is met by analysis of Mongoose and Async module, which provides functions for more comprehensive asynchronous querying, needed for working with input/output to the MongoDB database in Node.js. The main merit of this thesis is (in the general sense) a demonstration of how to create a administration part of web application (backend) in Node.js, applying document oriented MongoDB database. The thesis discusses, in the theoretical part, about characteristics and significance of document oriented MongoDB database, about characteristics and architecture of Node.js platform employing untyped and multiplatform JavaScript language and about object document mapping (ODM) programs for Node.js on MongoDB. The practical part contains a collection of examples, where in the first chapter introduces an instalation and execution manual of necessary programs. The next chapter is dedicated to simple examples of Mongoose module and in the last chapter there are stated the complex examples of Mongoose and Async modules, which are the main merits of this thesis.
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Maurizio, Marek <1978&gt. "Manuzio: an object language for annotated text collections." Doctoral thesis, Università Ca' Foscari Venezia, 2010. http://hdl.handle.net/10579/918.

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Traditionally, collections of texts are digitally represented as a set of documents containing the text along with some kind of markup to define extra information, like metadata, annotations, etc. We propose a different approach that models the textual information in a dual way: as a sequence of characters, as well as a composition of a particular kind of entities, called textual objects. With such objects it is possible to represent portions of text organized in different, potentially overlapping, hierarchies, together with complex annotations. Manuzio is a statically typechecked language to define schemas of such textual objects and to write complex queries and applications on them through a set of powerful operators. In the thesis we describe our textual model, the main features of the language ares specified, and, finally, we introduce a sketch of a system to manage persistent collections of texts and execute programs written in Manuzio.<br>Tradizionalmente una collezione di testi è reppresentata in formato digitale da un insieme di documenti che contengono, oltre al testo stesso, qualche tipo di marcatura per veicolare informazioni extra-textuali, come metadati, annotazioni, etc. In questa tesi si propone un approccio differente, che modella l'informazione testuale in maniera duplice: sia come una sequenza di caratteri, sia come una composizione di particolari entità, chiamate oggetti testuali. Tramite questi oggetti è possibile rappresentare porzioni di testo, organizzate in gerarchie potenzialmente sovrapposte, complementate da annotazioni strutturate. Manuzio è un linguaggio di programmazione staticamente tipato che permette di deinire schemi di oggetti testuali e di scrivere interrogazioni e algoritmi di analisi testuali attraverso un insieme di operatori potenti. In questa tesi viene descritto il modello testuale, vengono specificate principali caratteristiche del linguaggio Manuzio, e viene introdotta la bozza di un sistema completo capace di archiviare collezioni di testi in maniera persistente e di eseguire programmi Manuzio.
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Chavan, Rohit. "JAVA synchronized collaborative multimedia toolkit: A collaborative communication tool." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2549.

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In this project a collaboration multimedia toolkit, JSCMT (Java Synchronized Collaborative Multimedia Toolkit) was developed which is intended to connect a group of people located in different geographical locations who are working on the same project.
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Gelibert, Anthony. "Contribution à la mise en oeuvre d’un outillage unifié pour faciliter la qualification d’environnements normés." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAM059/document.

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Les environnements confinés, tels que les blocs chirurgicaux ou les salles blanches, hébergent des processus complexes auxquels sont associés de nombreux risques. Leur conception, leur réalisation et leur exploitation sont complexes, de par les très nombreuses normes les encadrant.La qualification de ces « environnements normés », afin d’en garantir la qualité de conception, requiert une expertise fine du métier et souffre du manque d’outil en permettant l’automatisation. Partant de ce constat, nous proposons une approche unifiée visant à faciliter la qualification des environnements normés. Celle-ci s’appuie sur une représentation du contexte normatif sous la forme d’un graphe unique, ainsi que sur une modélisation de l’environnement et son objet final par étapes successives permettant une vérification incrémentale de même que la production d’informations nécessaires à la traçabilité lors de l’exploitation. Cette démarche, illustrée au travers du domaine des environnements confinés médicaux, est générique et peut s’appliquer à l’ensemble des environnements normés<br>Industrial clean rooms or operating rooms are critical places often hosting dangerous or complex processes. Their design, building and use are thus difficult and constrained by a large amount of standards and rules. Qualifying these environments, in order to ensure their quality, consequently requires a high level of expertise and lacks assisting tools.This leads us to propose a unified approach aiming at easing the qualification process of standardized environments. It relies on a graph-based representation of the set of standards and rules that apply to a specific case, as well as on step-by-step modelling of the whole target environment. The verification process is then eased as it becomes incremental. During each stage, relevant information can also be gathered in order to ensure environment traceability during its use.This approach, applied to medical environments for validation purposes, remains generic and can be applied to any kind of standardized environment
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Shi, Yong. "Evaluation of path-oriented queries in document databases." 2007. http://hdl.handle.net/1993/29448.

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Huang, Kuo-Fong, and 黃國峰. "A Hypermedia Document System Based on Object-Oriented Database." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/22491602852094440514.

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碩士<br>國立中興大學<br>應用數學系<br>84<br>Hypertext or Hypermedia is a style of building systems for information presentation around WWW( World Wide Web ) information networks. Such systems arebecoming more and more polupar as a structure that enables userfriendly accessto information of interest. Because hypermedia information in the systems arenot stored systematically, the information access is not efficent. In order to provide an efficient management method for hypermedia documents, in thispaper , we use object- oriented concepts to design a hypermedia documents data model and we developing a hypermedia document system based on object- oriented database.
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Books on the topic "Document-oriented Databases"

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Schuhart, Henrike. Design and implementation of a database programming language for XML-based applications. AKA, 2006.

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Chaudhri, Akmal B. Succeeding with Object databases: A practical look at today's implementations with Java and XML. John Wiley, 2001.

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Yatake, Kenrō. Obujekuto shikō riron ni yoru faiā wāru sāba no kenshō. JAIST Press, 2006.

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1957-, Tōjō Satoshi, ed. Ontorojī o mochiita hōteki chishiki kara no fuseigō no kenshutsu: Hokuriku Sentan Kagaku Gijutsu Daigakuin Daigaku 21-seiki COE puroguramu kenshō shinka kanō denshi shakai = Verifiable and evolvable e-society. JAIST Press, 2006.

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1957-, Tōjō Satoshi, ed. Ontorojī o mochiita hōteki chishiki kara no fuseigō no kenshutsu: Hokuriku Sentan Kagaku Gijutsu Daigakuin Daigaku 21-seiki COE puroguramu kenshō shinka kanō denshi shakai = Verifiable and evolvable e-society. JAIST Press, 2006.

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Hammerschmidt, Beda Christoph. KeyX: Selective key-oriented indexing in native XML-databases. Aka, 2006.

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Platt, Moritz. Document Oriented Databases and Text Processing. GRIN Verlag GmbH, 2014.

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O'Higgins, Niall. MongoDB and Python: Patterns and Processes for the Popular Document-Oriented Database. O'Reilly Media, Incorporated, 2011.

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Schuhart, Henrike. Design and Implementation of a Database Programming Language for XML-based Applications: Volume 97 Dissertations in Database and Information Systems - ... Database and Information Systems (Disdbis)). IOS Press, 2006.

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Book chapters on the topic "Document-oriented Databases"

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Ostrovsky, David, Mohammed Haji, and Yaniv Rodenski. "Designing Document-Oriented Databases with Couchbase." In Pro Couchbase Server. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1185-4_2.

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Ostrovsky, David, and Yaniv Rodenski. "Designing Document-Oriented Databases with Couchbase." In Pro Couchbase Server. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6614-3_2.

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Mishra, Omji, Pooja Lodhi, and Shikha Mehta. "Document Oriented NoSQL Databases: An Empirical Study." In Data Science and Analytics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8527-7_12.

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Matias, Rosa, and Maria Beatriz Piedade. "Multidimensional Models Supported by Document-Oriented Databases." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40725-3_14.

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Chevalier, M., M. El Malki, A. Kopliku, O. Teste, and R. Tournier. "Implementation of Multidimensional Databases with Document-Oriented NoSQL." In Big Data Analytics and Knowledge Discovery. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22729-0_29.

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Chen, Yangjun, and Gerald Huck. "On the Evaluation of Path-oriented Queries in Document Databases." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44759-8_92.

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Elotmani, Fouad, Redouane Esbai, and Mohamed Atounti. "Toward Automatic Generation of Document Oriented NoSQL Databases in Big Data Context." In Springer Proceedings in Energy. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57022-3_29.

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Makagonov, Pavel, and Konstantin Sboychakov. "Software for Creating Domain-Oriented Dictionaries and Document Clustering in Full-Text Databases." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44686-9_44.

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Belhaj, Abdelilah, Karim El Bouchti, Soumia Ziti, and Chaimae. "A New Approach to Protect Data In-Use at Document Oriented Databases Springer Guidelines for Authors of Proceedings." In International Conference on Advanced Intelligent Systems for Sustainable Development. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26384-2_40.

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Neven, Frank, and Jan Van den Bussche. "On implementing structured document query facilities on top of a DOOD." In Deductive and Object-Oriented Databases. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63792-3_25.

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Conference papers on the topic "Document-oriented Databases"

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Volegova, A. "DOCUMENT-ORIENTED DATABASES." In Digital transformation in the economy of the transport complex. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/conferencearticle_67893109aa3573.88044093.

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Garbin, Tainam Spagnollo, Denio Duarte, and Geomar A. Schreiner. "Rel2Doc: Migrating Data from Relational to Document-Oriented Databases." In Anais Estendidos do Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbbd_estendido.2024.243163.

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This paper presents Rel2Doc, a tool to migrate data from relational to document-oriented databases. From normalized concepts, Rel2Doc implements aggregation on the document side using foreign keys and join tables to avoid references in the document-oriented database. We build an interface where the user can choose the relational database source and some parameters to define how primary and foreign keys are implemented on the document-oriented side. Rel2Doc migrates all data regarding correctness and completeness, ensuring that queries have the same answers in both databases.
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Thomas Mason, Robert. "NoSQL Databases and Data Modeling for a Document-oriented NoSQL Database." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2245.

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NoSQL databases are an important component of Big Data for storing and retrieving large volumes of data. Traditional Relational Database Management Systems (RDBMS) use the ACID theorem for data consistency, whereas NoSQL Databases use a non-transactional approach called BASE. RDBMS scale vertically and NoSQL Databases can scale both horizontally (sharding) and vertically. Four types of NoSQL databases are Document-oriented, Key-Value Pairs, Column-oriented and Graph. Data modeling for Document-oriented databases is similar to data modeling for traditional RDBMS during the conceptual and logical modeling phases. However, for a physical data model, entities can be combined (denormalized) by using embedding. What was once called a foreign key in a traditional RDBMS is now called a reference in a Document-oriented NoSQL database.
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Hamouda, Shady. "Seamless Transition: Migrating from Relational Databases to Document-Oriented Databases." In 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2023. http://dx.doi.org/10.1109/idaacs58523.2023.10348946.

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Kumar, K. B. Sundhara, Srividya, and S. Mohanavalli. "A performance comparison of document oriented NoSQL databases." In 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP). IEEE, 2017. http://dx.doi.org/10.1109/icccsp.2017.7944071.

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Chung, S. M., and S. B. Jesurajaiah. "Schemaless XML document management in object-oriented databases." In International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II. IEEE, 2005. http://dx.doi.org/10.1109/itcc.2005.250.

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Salarmehr, Reza. "Enhancing open collaborative applications using document-oriented databases." In 2016 Second International Conference on Web Research (ICWR). IEEE, 2016. http://dx.doi.org/10.1109/icwr.2016.7498462.

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Gupta, Sheffi, and Rinkle Rani. "A comparative study of elasticsearch and CouchDB document oriented databases." In 2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016. http://dx.doi.org/10.1109/inventive.2016.7823252.

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AGGOUNE, Aicha, and Mohamed Sofiane NAMOUNE. "A Method for Transforming Object-relational to Document-oriented Databases." In 2020 2nd International Conference on Mathematics and Information Technology (ICMIT). IEEE, 2020. http://dx.doi.org/10.1109/icmit47780.2020.9047011.

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Buddrus, Frank. "Access Control in an Object-Oriented Document Repository." In Proceedings of the First East-European Symposium on Advances in Databases and Information Systems. BCS Learning & Development, 1997. http://dx.doi.org/10.14236/ewic/adbis1997.9.

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Reports on the topic "Document-oriented Databases"

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Atkinson-Palombo, Carol, Rosalie Ray, and Norman Garrick. Transit Oriented Development for a More Climate Resilient Connecticut: Challenges and Opportunities in Fairfield and New Haven Counties. UConn Connecticut Institute for Resilience and Climate Adaptation, 2021. http://dx.doi.org/10.56576/bjsz6468.

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Abstract:
Over the past decade, Connecticut has made a strong push for transit-oriented development (TOD). In some parts of the state, however, TOD is as much returning to past forms of urbanism as building anew, as cities along the Metro-North New Haven Main Line were largely developed before the car. Using a mixed methods approach of document review, stakeholder interviews, and geospatial analysis, we studied challenges and obstacles to TOD along the Metro-North New Haven Main Line. Several station areas, TOD zones, and track sections are within CIRCA's 1% 2050 flood projections for sea level rise. While none of the top 200 bus stops are among the 192 CT Transit stops in the flood zone, 45 federally subsidized affordable housing complexes included in the National Housing Preservation Database (NHPD) are within 60-ft of the 1% flood in 2050. This project produced a detailed geodatabase of land use around transit stations; assessment of obstacles and potential of TOD, and best practices recommendations.
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