Results 11 to 20 of about 1,662 (174)
Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
IET Networks, Accepted Article., 2022 This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley +1 more source
Big Data and Cognitive Computing, 2023 The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support
Wisal Khan +5 more
doaj +1 more source
Performance Evaluation of NoSQL Document Databases: Couchbase, CouchDB, and MongoDB
Algorithms, 2023 NoSQL document databases emerged as an alternative to relational databases for managing large volumes of data. NoSQL document databases ensure big data storage and good query performance and are essential when the data scheme does not fit into the scheme
Inês Carvalho +2 more
doaj +1 more source
Analisis Perbandingan Unjuk Kerja Database SQL dan Database NoSQL Untuk Mendukung Era Big Data
Jurnal Nasional Teknik Elektro, 2020 Recently, the development of data in the digital world has produced new challenges. The challenge is increasing number and complexity of data and variations in data (structured and unstructured).
Ari Fadli +4 more
doaj +1 more source
Testing the performance of NoSQL databases via the Database Benchmark tool / Тестирование возможностей базы данных NoSQL с помощью Database Benchmark инструмента / Testiranje performansi NoSQL baza podataka pomoću database benchmark alata [PDF]
Vojnotehnički Glasnik, 2018 NoSQL is often used as a successful alternative to relational databases, especially when it is necessary to provide adequate system dimensioning, usage of a variety of data types and high efficiency at a low cost for maintaining consistency.
Lazar J. Krstić, Marija S. Krstić
doaj +1 more source
Performance Evaluation of NoSQL Databases [PDF]
, 2014 NoSQL databases have emerged as a backend to support Big Data applications. NoSQL databases are characterized by horizontal scalability, schema-free data models, and easy cloud deployment. To avoid overprovisioning, it is essential to be able to identify the correct number of nodes required for a specific system before deployment. This paper benchmarks
Andrea Gandini +4 more
openaire +1 more source
An Introduction of NoSQL Databases Based on Their Categories and Application Industries
Algorithms, 2019 The popularization of big data makes the enterprise need to store more and more data. The data in the enterprise’s database must be accessed as fast as possible, but the Relational Database (RDB) has the speed limitation due to the join operation ...
Jeang-Kuo Chen, Wei-Zhe Lee
doaj +1 more source
Procedia Computer Science, 2018 Abstract In the last decade, we have witnessed an explosion of data volume available on the Web. This is due to the rapid technological advances with the availability of smart devices and social networks such as Twitter, Facebook, Instagram, etc. Hence, the concept of Big Data was created to face this constant increase.
Hana Mallek +3 more
openaire +2 more sources
Comparison of NoSQL Database and Traditional Database-An emphatic analysis
JOIV: International Journal on Informatics Visualization, 2018 A Huge amount of data is manipulated by using the web application, Facebook, Twitter, social sites etc. Most of the data are unstructured data. It is not desirable for storing, performing and analyzing data in the relational database for huge data.
M. Sandeep Kumar, Prabhu .J
doaj +1 more source
Performance Comparison of NOSQL Database Cassandra and SQL Server for Large Databases
JISR on Computing, 2016 The performance comparison of NoSQL database and a Relational Database Management Systems has been done to identify which database responds faster to specific types of requests and suitability of these databases for different scenarios.
Khalid Mahmood
doaj +1 more source