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Artykuły w czasopismach na temat „Cassandra database system”

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Data publikacji: 6 września 2023

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1

Andor, C. F. "Performance Benchmarking for NoSQL Database Management Systems." Studia Universitatis Babeș-Bolyai Informatica 66, no. 1 (2021): 23. http://dx.doi.org/10.24193/subbi.2021.1.02.

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NoSQL database management systems are very diverse and are known to evolve very fast. With so many NoSQL database options available nowadays, it is getting harder to make the right choice for certain use cases. Also, even for a given NoSQL database management system, performance may vary significantly between versions. Database performance benchmarking shows the actual performance for different scenarios on different hardware configurations in a straightforward and precise manner. This paper presents a NoSQL database performance study in which two of the most popular NoSQL database management
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Gorbenko, Anatoliy, and Olga Tarasyuk. "EXPLORING TIMEOUT AS A PERFORMANCE AND AVAILABILITY FACTOR OF DISTRIBUTED REPLICATED DATABASE SYSTEMS." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 27, 2020): 98–105. http://dx.doi.org/10.32620/reks.2020.4.09.

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A concept of distributed replicated data storages like Cassandra, HBase, MongoDB has been proposed to effectively manage the Big Data sets whose volume, velocity, and variability are difficult to deal with by using the traditional Relational Database Management Systems. Trade-offs between consistency, availability, partition tolerance, and latency are intrinsic to such systems. Although relations between these properties have been previously identified by the well-known CAP theorem in qualitative terms, it is still necessary to quantify how different consistency and timeout settings affect sys
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Wang, Bo-Qian, Qi Yu, Xin Liu, Li Shen, and Zhi-ying Wang. "A System Performance Estimation Model for Cassandra Database." International Journal of Database Theory and Application 9, no. 3 (2016): 123–36. http://dx.doi.org/10.14257/ijdta.2016.9.3.14.

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P, aralakshmi, Hima S, and Surekha Mariam Varghese. "Cassandra a distributed NoSQL database for Hotel Management System." International Journal on Cybernetics & Informatics 5, no. 2 (2016): 109–16. http://dx.doi.org/10.5121/ijci.2016.5212.

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Béjar-Martos, Juan A., Antonio J. Rueda-Ruiz, Carlos J. Ogayar-Anguita, Rafael J. Segura-Sánchez, and Alfonso López-Ruiz. "Strategies for the Storage of Large LiDAR Datasets—A Performance Comparison." Remote Sensing 14, no. 11 (2022): 2623. http://dx.doi.org/10.3390/rs14112623.

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The widespread use of LiDAR technologies has led to an ever-increasing volume of captured data that pose a continuous challenge for its storage and organization, so that it can be efficiently processed and analyzed. Although the use of system files in formats such as LAS/LAZ is the most common solution for LiDAR data storage, databases are gaining in popularity due to their evident advantages: centralized and uniform access to a collection of datasets; better support for concurrent retrieval; distributed storage in database engines that allows sharding; and support for metadata or spatial quer
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Gorbenko, Anatoliy, Andrii Karpenko, and Olga Tarasyuk. "Performance evaluation of various deployment scenarios of the 3-replicated Cassandra NoSQL cluster on AWS." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 29, 2021): 157–65. http://dx.doi.org/10.32620/reks.2021.4.13.

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A concept of distributed replicated NoSQL data storages Cassandra-like, HBase, MongoDB has been proposed to effectively manage Big Data set whose volume, velocity and variability are difficult to deal with by using the traditional Relational Database Management Systems. Tradeoffs between consistency, availability, partition tolerance and latency is intrinsic to such systems. Although relations between these properties have been previously identified by the well-known CAP and PACELC theorems in qualitative terms, it is still necessary to quantify how different consistency settings, deployment p
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Aniceto, Rodrigo, Rene Xavier, Valeria Guimarães, et al. "Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency." International Journal of Genomics 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/502795.

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Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the persistency of genomic data, particularly storing and analyzing these large-scale processed data. To find an alternative to the frequently considered relational database model becomes a compelling task. Other data models may be more effective when dealing with a very large amount of nonconventional data, especially for writing and retrieving operations.
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Stetsyk, Oleksii, and Svitlana Terenchuk. "COMPARATIVE ANALYSIS OF NOSQL DATABASES ARCHITECTURE." Management of Development of Complex Systems, no. 47 (September 27, 2021): 78–82. http://dx.doi.org/10.32347/2412-9933.2021.47.78-82.

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This article is devoted to the study of problematic issues due to the growing scale and requirements for modern high-load distributed systems. The relevance of the work is ensured by the fact that an important component of each such system is a database. The paper highlights the main problems associated with the use of relational databases in many high-load distributed systems. The main focus is on the study of such properties as data consistency, availability, and stability of the system. Basic information about the architecture and purpose of non-relational databases with a wide column, data
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Milošević, Danijela, Selver Pepić, Muzafer Saračević, and Milan Tasić. "Weighted Moore–Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system." Sādhanā 41, no. 8 (2016): 837–46. http://dx.doi.org/10.1007/s12046-016-0523-6.

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Deng, Lu, Wei Hong Han, Dong Liu, and Ying Xiong. "The Model of Fuzzy Retrieval Based on External Index." Applied Mechanics and Materials 380-384 (August 2013): 1605–8. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1605.

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With the rapid development of the Internet, database is getting more and more attention for its advantages of high concurrency, high scalability and high availability. In order to solve the problem that how to retrieving the data in the database efficiently and accurately, a model of fuzzy retrieval based on external index is proposed in this paper. By this external index, the efficiency of the NoSQL databases retrieval whose column not be appointed is greatly improved. As an example, the Cassandra database is adopted to store the data and the external index is stored in the national databases
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Dahunsi, F. M., A. J. Joseph, O. A. Sarumi, and O. O. Obe. "Database management system for mobile crowdsourcing applications." Nigerian Journal of Technology 40, no. 4 (2021): 713–27. http://dx.doi.org/10.4314/njt.v40i4.18.

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 The evaluation of mobile crowdsourcing activities and reports require a viable and large volume of data. These data are gathered in real-time and from a large number of paid or unpaid volunteers over a period. A high volume of quality data from smartphones or mobile devices is pivotal to the accuracy and validity of the results. Therefore, there is a need for a robust and scalable database structure that can effectively manage and store the large volumes of data collected from various volunteers without compromising the integrity of the data. An in-depth review of various
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Jansen, Gregory, Aaron Coburn, Adam Soroka, Will Thomas, and Richard Marciano. "DRAS-TIC Linked Data: Evenly Distributing the Past." Publications 7, no. 3 (2019): 50. http://dx.doi.org/10.3390/publications7030050.

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Memory institutions must be able to grow a fully-functional repository incrementally as collections grow, without expensive enterprise storage, massive data migrations, and the performance limits that stem from the vertical storage strategies. The Digital Repository at Scale that Invites Computation (DRAS-TIC) Fedora research project, funded by a two-year National Digital Platform grant from the Institute for Museum and Library Services (IMLS), is producing open-source software, tested cluster configurations, documentation, and best-practice guides that enable institutions to manage linked dat
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Nagarakshitha, B. R., K. S. Lohith, K. P. Aarthy, Arjun Gopkumar, and Uma Satya Ranjan. "Application of NoSQL Technology to Facilitate Storing and Retrieval of Clinical Data Using IndexedDb in Offline Conditions." Journal of Computational and Theoretical Nanoscience 17, no. 9 (2020): 4012–15. http://dx.doi.org/10.1166/jctn.2020.9010.

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Data collection is a very important aspect of any research, especially while dealing with the collection of clinical data. This paper presents a way to collect and manage clinical data using a web application with offline functionality. The whole application is an end-to-end PWA providing an interface to collect the data, store, and query. The available data is very huge and it is unstructured. To store it, a NoSQL database such as Cassandra is most suitable. The data will mostly be used for an OLAP system for querying the data, cleaning and performing analysis on it. In the process of collect
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Cereda, Stefano, Stefano Valladares, Paolo Cremonesi, and Stefano Doni. "CGPTuner." Proceedings of the VLDB Endowment 14, no. 8 (2021): 1401–13. http://dx.doi.org/10.14778/3457390.3457404.

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Properly selecting the configuration of a database management system (DBMS) is essential to increase performance and reduce costs. However, the task is astonishingly tricky due to a large number of tunable configuration parameters and their inter-dependencies. Also, the optimal configuration depends upon the workload to which the DBMS is exposed. To extract the full potential of a DBMS, we must also consider the entire IT stack on which the DBMS is running, comprising layers like the Java virtual machine, the operating system and the physical machine. Each layer offers a multitude of parameter
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15

Das, Moumita, Jack C. P. Cheng, and Kincho H. Law. "An ontology-based web service framework for construction supply chain collaboration and management." Engineering, Construction and Architectural Management 22, no. 5 (2015): 551–72. http://dx.doi.org/10.1108/ecam-07-2014-0089.

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Purpose – The purpose of this paper is to present a framework for integrating construction supply chain in order to resolve the data heterogeneity and data sharing problems in the construction industry. Design/methodology/approach – Standardized web service technology is used in the proposed framework for data specification, transfer, and integration. Open standard SAWSDL is used to annotate web service descriptions with pointers to concepts defined in ontologies. NoSQL database Cassandra is used for distributed data storage among construction supply chain stakeholders. Findings – Ontology can
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16

Ferencz, Katalin. "Overview of Modern Nosql Database Management Systems. Case Study: Apache Cassandra." Műszaki Tudományos Közlemények 9, no. 1 (2018): 83–86. http://dx.doi.org/10.33894/mtk-2018.09.16.

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Abstract The wide spread of IoT devices makes possible the collection of enormous amounts of sensor data. Traditional SQL (structured query language) database management systems are not the most appropriate for storing this type of data. For this task, distributed database management systems are the most adequate. Apache Cassandra is an open source, distributed database server software that stores large amounts of data on low-coast servers, providing high availability. The Cassandra uses the gossip protocol to exchange information between the distributed servers. The query language used is the
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Lu, Wenjuan, Aiguo Liu, and Chengcheng Zhang. "Research and implementation of big data visualization based on WebGIS." Proceedings of the ICA 2 (July 10, 2019): 1–6. http://dx.doi.org/10.5194/ica-proc-2-79-2019.

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<p><strong>Abstract.</strong> With the development of geographic information technology, the way to get geographical information is constantly, and the data of space-time is exploding, and more and more scholars have started to develop a field of data processing and space and time analysis. In this, the traditional data visualization technology is high in popularity and simple and easy to understand, through simple pie chart and histogram, which can reveal and analyze the characteristics of the data itself, but still cannot combine with the map better to display the hidden ti
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18

Karpenko, Andrii, Olga Tarasyuk, and Anatoliy Gorbenko. "Research consistency and perfomance of nosql replicated databases." Advanced Information Systems 5, no. 3 (2021): 66–75. http://dx.doi.org/10.20998/2522-9052.2021.3.09.

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This paper evaluates performance of distributed fault-tolerant computer systems and replicated NoSQL databases and studies the impact of data consistency on performance and throughput on the example of a three-replicated Cassandra cluster. The paper presents results of heavy-load testing (benchmarking) of Cassandra cluster’s read and write performance which replicas were deployed on Amazon EC2 cloud. The presented quantitative results show how different consistency settings affect the performance of a Cassandra cluster under different workloads considering two deployment scenarios: when all cl
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Chang, Bao Rong, Hsiu-Fen Tsai, and Cin-Long Guo. "Applying Intelligent Adaptation to Remote Cloud Datacenter Backup." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 6 (2016): 928–40. http://dx.doi.org/10.20965/jaciii.2016.p0928.

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HBase and Cassandra are two most commonly used large-scale distributed NoSQL database management systems; especially applicable to a large amount of data processing. Regarding remote data backup, each kind of datacenter has its own backup strategy to prevent the risks of data loss. With Thrift Java, this paper aims to implement in-cloud high efficient remote datacenter backup applied to in-cloud NoSQL databases like HBase and Cassandra. The binary communications protocol technology from Apache Thrift is employed to establish the graphical user interface instead of the command line interface so
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20

Silva-Muñoz, Moisés, Alberto Franzin, and Hugues Bersini. "Automatic configuration of the Cassandra database using irace." PeerJ Computer Science 7 (August 5, 2021): e634. http://dx.doi.org/10.7717/peerj-cs.634.

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Database systems play a central role in modern data-centered applications. Their performance is thus a key factor in the efficiency of data processing pipelines. Modern database systems expose several parameters that users and database administrators can configure to tailor the database settings to the specific application considered. While this task has traditionally been performed manually, in the last years several methods have been proposed to automatically find the best parameter configuration for a database. Many of these methods, however, use statistical models that require high amounts
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Matallah, Houcine, Ghalem Belalem, and Karim Bouamrane. "Evaluation of NoSQL Databases." International Journal of Software Science and Computational Intelligence 12, no. 4 (2020): 71–91. http://dx.doi.org/10.4018/ijssci.2020100105.

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The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data. The new requirements and the difficulties encountered in the management of data classified “big data” have emerged NoSQL and NewSQL systems. This paper develops a comparative study about the performance of six solutions NoSQL, employed by the important companies in the IT sector: MongoDB, Cassandra, HBase, Redis, Couchbase, an
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Saundatt, Sujay i. "Databases In The 21’st Century." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1440–44. http://dx.doi.org/10.22214/ijraset.2022.43982.

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Abstract: NoSQL databases are the 21’st century databases created to defeat the disadvantages of RDBMS. The objective of NoSQL is to give versatility, accessibility and meet different necessities of distributed computing.The main motivations for NoSQL databases systems are achieving scalability and fail over needs. In the vast majority of the NoSQL data set frameworks, information is parceled and repeated across numerous hubs. Innately, the majority of them utilize either Google's MapReduce or Hadoop Distributed File System or Hadoop MapReduce for information assortment. Cassandra, HBase and M
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Kaur, Harpreet. "Analysis of Nosql Database State-of-The-Art Techniques and their Security Issues." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 467–71. http://dx.doi.org/10.17762/turcomat.v12i2.852.

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NOSql database systems are extremely optimized for performing retrieval and adjoining operations on large quantity of data as compared to relational models which are relatively inefficient. They are used majorly for real-time applications and statistically analyzing the growing amount of data. NoSQL databases emerging in market claim to outperform SQL databases. In Present time of technology, every person wants to save and secure its data so that no one can check their information without their permission .However, there are multifarious security issues which are yet to be resolved. In this pa
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Diogo, Miguel, Bruno Cabral, and Jorge Bernardino. "Consistency Models of NoSQL Databases." Future Internet 11, no. 2 (2019): 43. http://dx.doi.org/10.3390/fi11020043.

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Internet has become so widespread that most popular websites are accessed by hundreds of millions of people on a daily basis. Monolithic architectures, which were frequently used in the past, were mostly composed of traditional relational database management systems, but quickly have become incapable of sustaining high data traffic very common these days. Meanwhile, NoSQL databases have emerged to provide some missing properties in relational databases like the schema-less design, horizontal scaling, and eventual consistency. This paper analyzes and compares the consistency model implementatio
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Gupta, Sangeeta. "Performance Evaluation of Unstructured PBRA for Bigdata with Cassandra and MongoDB in Cloud." International Journal of Cloud Applications and Computing 8, no. 3 (2018): 48–59. http://dx.doi.org/10.4018/ijcac.2018070104.

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In this article, performance evaluation of web collection data in data stores, such as NoSQL-Cassandra and MongoDB is presented, yielding scalability of applications. In addition to scalability, security of NoSQL databases remains highly unproved. It is noteworthy that existing works in the area of cloud with NoSQL focus on either scalability or security but not both aspects. Also, security, if provided, is at minor interface levels. In this article, the PBRA system is designed to deal with highly unstructured big data emerging from the twitter social networking service, which is new of its ki
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Antas, João, Rodrigo Rocha Silva, and Jorge Bernardino. "Assessment of SQL and NoSQL Systems to Store and Mine COVID-19 Data." Computers 11, no. 2 (2022): 29. http://dx.doi.org/10.3390/computers11020029.

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COVID-19 has provoked enormous negative impacts on human lives and the world economy. In order to help in the fight against this pandemic, this study evaluates different databases’ systems and selects the most suitable for storing, handling, and mining COVID-19 data. We evaluate different SQL and NoSQL database systems using the following metrics: query runtime, memory used, CPU used, and storage size. The databases systems assessed were Microsoft SQL Server, MongoDB, and Cassandra. We also evaluate Data Mining algorithms, including Decision Trees, Random Forest, Naive Bayes, and Logistic Regr
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Elghamrawy, Sally M., and Aboul Ella Hassanien. "A partitioning framework for Cassandra NoSQL database using Rendezvous hashing." Journal of Supercomputing 73, no. 10 (2017): 4444–65. http://dx.doi.org/10.1007/s11227-017-2027-5.

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Pop, Claudia, Marcel Antal, Tudor Cioara, et al. "Blockchain-Based Scalable and Tamper-Evident Solution for Registering Energy Data." Sensors 19, no. 14 (2019): 3033. http://dx.doi.org/10.3390/s19143033.

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Nowadays, it has been recognized that blockchain can provide the technological infrastructure for developing decentralized, secure, and reliable smart energy grid management systems. However, an open issue that slows the adoption of blockchain technology in the energy sector is the low scalability and high processing overhead when dealing with the real-time energy data collected by smart energy meters. Thus, in this paper, we propose a scalable second tier solution which combines the blockchain ledger with distributed queuing systems and NoSQL (Not Only SQL database) databases to allow the reg
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Khashan, Eman, Ali Eldesouky, and Sally Elghamrawy. "An adaptive spark-based framework for querying large-scale NoSQL and relational databases." PLOS ONE 16, no. 8 (2021): e0255562. http://dx.doi.org/10.1371/journal.pone.0255562.

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The growing popularity of big data analysis and cloud computing has created new big data management standards. Sometimes, programmers may interact with a number of heterogeneous data stores depending on the information they are responsible for: SQL and NoSQL data stores. Interacting with heterogeneous data models via numerous APIs and query languages imposes challenging tasks on multi-data processing developers. Indeed, complex queries concerning homogenous data structures cannot currently be performed in a declarative manner when found in single data storage applications and therefore require
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Kim, Jinsul, Akm Ashiquzzaman, Van Quan Nguyen, and Sang Woo Kim. "Hybrid Mobile-App. on Multi-MEC Platforms in NFV Environment." International Journal of Engineering & Technology 7, no. 4.38 (2018): 383. http://dx.doi.org/10.14419/ijet.v7i4.38.24587.

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In recent times, practicality of web applications has become more reliant upon big-data orientated materials such 4K videos, hi-def. resolution images, lossless audios and massive texts. Structured Query Languages (SQL) faces compatibility issues with large scale databases. Because of this data storage problem, NoSQL databases are used for storing big-data. NoSQL databases have been recently gaining traction with many options such MongoDB, CouchDB, Redis and Apache Cassandra. One of the major restrictions companies, enterprises and developers encounter during developing an application is multi
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Mazurova, Oksana, Mykola Andrushchenko, and Mariya Shirokopetleva. "RESEARCH OF METHODS OF SOFTWARE IMPLEMENTATION OF THE COSMOS DB API ON THE .NET PLATFORM." Innovative Technologies and Scientific Solutions for Industries, no. 2 (24) (August 5, 2023): 118–30. http://dx.doi.org/10.30837/itssi.2023.24.118.

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Large number of developers use the .NET platform to create applications that work with databases today. In turn, Cosmos DB is becoming an increasingly popular choice as a NoSQL storage for such databases. Cosmos DB is a flexible and scalable system, and the correct selection of the appropriate API during software implementation can significantly affect the performance of the programs themselves. Cosmos DB provides different APIs for working with different types of databases, such as SQL databases, running MongoDB or Cassandra. In turn, each of these APIs can be used using various methods of so
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Burmester, G. R., L. Coates, S. B. Cohen, et al. "POS0232 POST-MARKETING SAFETY SURVEILLANCE OF TOFACITINIB OVER 9 YEARS IN PATIENTS WITH RHEUMATOID ARTHRITIS AND PSORIATIC ARTHRITIS." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 347–48. http://dx.doi.org/10.1136/annrheumdis-2023-eular.1722.

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BackgroundThe safety of tofacitinib in patients (pts) with rheumatoid arthritis (RA) and psoriatic arthritis (PsA) has been demonstrated in clinical studies with up to 9.5 and 4 years (yrs) of observation, respectively. Real-world post-marketing surveillance (PMS) safety data comprised of spontaneous and voluntary adverse event (AE) reports for tofacitinib have been published for RA and ulcerative colitis, but not PsA.ObjectivesTo further characterise the real-world safety profile of tofacitinib in RA and PsA.MethodsAE reports were collected from 6 Nov 2012–6 Nov 2021 (RA) and 14 Dec 2017–6 No
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Tigua Moreira, Sonia, Edison Cruz Navarrete, and Geovanny Cordova Perez. "Big Data: paradigm in construction in the face of the challenges and challenges of the financial sector in the 21st century." Universidad Ciencia y Tecnología 25, no. 110 (2021): 127–37. http://dx.doi.org/10.47460/uct.v25i110.485.

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The world of finance is immersed in multiple controversies, laden with contradictions and uncertainties typical of a social ecosystem, generating dynamic changes that lead to significant transformations, where the thematic discussion of Big Data becomes crucial for real-time logical decision-making. In this field of knowledge is located this article, which reports as a general objective to explore the strengths, weaknesses and future trends of Big Data in the financial sector, using as a methodology for exploration a scientific approach with the bibliographic tools scopus and scielo, using as
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J, Jyothi. "Cassandra is a Better Option for Handling Big Data in a No-SQL Database." International Journal of Research Publication and Reviews, September 17, 2022, 880–83. http://dx.doi.org/10.55248/gengpi.2022.3.9.27.

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With no single point of failure and the flexibility to handle enormous volumes of data across numerous commodity servers, Apache Cassandra is an opensource distributed database management system. With asynchronous master less replication, Cassandra provides strong support for clusters spanning several datacenters and enables low latency operations for all clients. Like skilled carpenters, data engineers are aware that certain tasks call for various tools. Choosing the appropriate equipment and being knowledgeable about their use can be the most crucial aspects of any job. A distributed informa
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Singh, Sandeep Kumar, and Mamata Jenamani. "Cassandra-based data repository design for food supply chain traceability." VINE Journal of Information and Knowledge Management Systems ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/vjikms-08-2019-0119.

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Purpose The purpose of this paper is to design a supply chain database schema for Cassandra to store real-time data generated by Radio Frequency IDentification technology in a traceability system. Design/methodology/approach The real-time data generated in such traceability systems are of high frequency and volume, making it difficult to handle by traditional relational database technologies. To overcome this difficulty, a NoSQL database repository based on Casandra is proposed. The efficacy of the proposed schema is compared with two such databases, document-based MongoDB and column family-ba
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Khashan, Eman A., Ali I. El Desouky, and Sally M. Elghamrawy. "A Framework for Executing Complex Querying for Relational and NoSQL Databases (CQNS)." European Journal of Electrical Engineering and Computer Science 4, no. 5 (2020). http://dx.doi.org/10.24018/ejece.2020.4.5.195.

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The increasing of data on the web poses major confrontations. The amount of stored data and query data sources have become needful features for huge data systems. There are a large number of platforms used to handle the NoSQL database model such as: Spark, H2O and Hadoop HDFS / MapReduce, which are suitable for controlling and managing the amount of big data. Developers of different applications impose data stores on difficult tasks by interacting with mixed data models through different APIs and queries. In this paper, a complex SQL Query and NoSQL (CQNS) framework that acts as an interpreter
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"A Scalable and Fault Tolerant Health Risk Predictor using Bigdata Process Systems." International Journal of Innovative Technology and Exploring Engineering 8, no. 9S3 (2019): 609–14. http://dx.doi.org/10.35940/ijitee.i3122.0789s319.

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fault tolerant system to do real-time analytics for different health care applications. Users can get their health condition analysis report from the system by sending their health records in real-time. The health conditions occurrence can be considered as complex events and it may extended to different heterogeneous scenarios. Based on scalability and availability requirements, the system is developed using Kafka, Spark Streaming and Cassandra and implemented by using Scala. This system is capable for event stream processing and event batch processing. Users send the health data to Kafka thro
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Li, Jiaxin, Yiming Zhang, Shan Lu, et al. "Performance Bug Analysis and Detection for Distributed Storage and Computing Systems." ACM Transactions on Storage, January 18, 2023. http://dx.doi.org/10.1145/3580281.

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This paper systematically studies 99 distributed performance bugs from five widely-deployed distributed storage and computing systems (Cassandra, HBase, HDFS, Hadoop MapReduce and ZooKeeper). We present the TaxPerf database, which collectively organizes the analysis results as over 400 classification labels and over 2,500 lines of bug re-description. TaxPerf is classified into six bug categories (and 18 bug subcategories) by their root causes, namely, resource, blocking, synchronization, optimization, configuration, and logic. TaxPerf can be used as a benchmark for performance bug studies and
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J, Jyothi. "MogoDB: A NoSQL Database with Amazing Advantages and Features." International Journal of Research Publication and Reviews, September 19, 2022, 1005–8. http://dx.doi.org/10.55248/gengpi.2022.3.9.30.

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The extremely compressed data stores on non-relational database management systems, commonly referred to as NoSQL data stores, which facilitate the management of data for internet user programs, do not now provide this feature. Some of the words that come to mind are data security, encryption methods, MongoDB, and NoSQL. Without negatively compromising the database's performance in terms of speed or memory utilization, the appropriate encryption methods utilized to various essential data fields provide data protection. This is possible because the right encryption methods are being used. Datab
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J, Jyothi. "MogoDB: A NoSQL Database with Amazing Advantages and Features." International Journal of Research Publication and Reviews, October 20, 2022, 1468–71. http://dx.doi.org/10.55248/gengpi.2022.3.10.50.

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The extremely compressed data stores on non-relational database management systems, commonly referred to as NoSQL data stores, which facilitate the management of data for internet user programs, do not now provide this feature. Some of the words that come to mind are data security, encryption methods, MongoDB, and NoSQL. Without negatively compromising the database's performance in terms of speed or memory utilization, the appropriate encryption methods utilized to various essential data fields provide data protection. This is possible because the right encryption methods are being used. Datab
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41

Kanchan, Shivangi, Parmeet Kaur, and Pranjal Apoorva. "Empirical Evaluation of NoSQL and Relational Database Systems." Recent Advances in Computer Science and Communications 13 (June 12, 2020). http://dx.doi.org/10.2174/2666255813999200612113208.

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Aim: To evaluate the performance of Relational and NoSQL databases in terms of execution time and memory consumption during operations involving structured data. Objective: To outline the criteria that decision makers should consider while making a choice of the database most suited to an application. Methods: Extensive experiments were performed on MySQL, MongoDB, Cassandra, Redis using the data for a IMDB movies schema prorated into 4 datasets of 1000, 10000, 25000 and 50000 records. The experiments involved typical database operations of insertion, deletion, update read of records with and
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Eshtay, Mohammed, Azzam Sleit, and Monther Aldwairi. "IMPLEMENTING BI-TEMPORAL PROPERTIES INTO VARIOUS NOSQL DATABASE CATEGORIES." International Journal of Computing, March 31, 2019, 45–52. http://dx.doi.org/10.47839/ijc.18.1.1272.

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NoSQL database systems have emerged and developed at an accelerating rate in the last years. Attractive properties such as scalability and performance, which are needed by many applications today, contributed to their increasing popularity. Time is very important aspect in many applications. Many NoSQL database systems do not offer built in management for temporal properties. In this paper, we discuss how we can embed temporal properties in NoSQL databases. We review and differentiate between the most popular NoSQL stores. Moreover, we propose various solutions to modify data models for embedd
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Dettki, Holger, Debora Arlt, Johan Bäckman, and Mathieu Blanchet. "Key-value pairs and NoSQL databases: a novel concept to manage biologging data in data repositories." Biodiversity Information Science and Standards 7 (August 21, 2023). http://dx.doi.org/10.3897/biss.7.111438.

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Traditional data scheme concepts for biologging data previously relied on traditional relational databases and fixed normalized tables. In practice, this means that a repository contains separate, fixed table structures for each type of sensor data. Prominent examples are the current Wireless Remote Animal Monitoring (WRAM) data schema or the now discontinued ZoaTrack approach. While the traditional approach worked fine as long as few sensors with fixed data types were used, rapid technological development continuously introduces new sensor types and more advanced sensor platforms. This means
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B, Shahida. ""Using MongoDB to Understand the Underlying Methods Techniques Encryption in NoSQL database"." International Journal of Research Publication and Reviews, September 17, 2022, 862–66. http://dx.doi.org/10.55248/gengpi.2022.3.9.23.

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There is a need for appropriate encryption methods, which must be adhered by the concerned parties, in order to provide a high level of security for the secret data. In this study, an examination of the different encryption algorithms and their performance in the management of private data with authentication, access control, secure configuration, and data encryption is presented. It includes enhancing MongoDB's level-based access protected model and adding privacy keys for security and monitoring purposes respectively. The NoSQL data stores, also known as highly compressed data on non-relatio
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Rupali Chopade and Vinod Pachghare. "Data Tamper Detection from NoSQL Database in Forensic Environment." Journal of Cyber Security and Mobility, April 8, 2021. http://dx.doi.org/10.13052/jcsm2245-1439.1025.

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The growth of service sector is increasing the usage of digital applications worldwide. These digital applications are making use of database to store the sensitive and secret information. As the database has distributed over the internet, cybercrime attackers may tamper the database to attack on such sensitive and confidential information. In such scenario, maintaining the integrity of database is a big challenge. Database tampering will change the database state by any data manipulation operation like insert, update or delete. Tamper detection techniques are useful for the detection of such
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