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Emerging Technologies For Big Data Processing: NOSQL And NEWSQL Data Stores

Deepika Aggarwal, Roopam Sonika
2016 International Journal Of Engineering And Computer Science  
data, called Big Data, the demand for technologies with extensive processing and storage requirements is rising to persuasively process such data i.e.  ...  Big Data. Traditional relational databases are facing challenges in meeting the performance and scale requirements of Big data.  ...  Big data is a term for any collection of datasets so large and complex that it becomes difficult to work with the relational database management systems.  ... 
doi:10.18535/ijecs/v5i1.24 fatcat:jdtuhhti6faadm4l4fireck3hm

Data Processing System Using CQRS Pattern and NoSQL in V2X Environment

Sangkon Han, Department of Computer Science Engineering, Pusan National University, Busan, Republic of Korea, Jung-In Choi, Software Education Center, Pusan National University, Busan, Republic of Korea
2020 International Journal of Smart Device and Appliance  
In V2X environments, large amounts of unstructured data are recorded by various devices.  ...  In addition, both repositories can be easily scaled up when processing large amounts of data, making efficient use of resources.  ...  The Relational Database Management System (RDBMS) provides transactions for consistent data.  ... 
doi:10.21742/ijsda.2020.8.1.01 fatcat:grxx3cj3wjea7emajwbatdptry

Oracle database filesystem

Krishna Kunchithapadam, Wei Zhang, Amit Ganesh, Niloy Mukherjee
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
Storage of unstructured content in a relational database would guarantee the same robustness, transactional consistency, data integrity, data recoverability and other data management features consolidated  ...  Although database systems are preferred for relational data management, poor performance of unstructured data storage, limited data transformation functionalities, and lack of interfaces based on filesystem  ...  We also thank Kevin Closson for assisting us with the hardware setup as well as conducting the performance tests on DBFS.  ... 
doi:10.1145/1989323.1989445 dblp:conf/sigmod/KunchithapadamZGM11 fatcat:7hwao3cpfjc63b3xv6mktqd3jq

A NOVEL TECHNIQUE IN NoSQL DATA EXTRACTION

Renu Chaudhary, Gagangeet Singh
2014 International journal of research - granthaalayah  
(expert level); Large volume data storage (unstructured, semi-structured, small-packet structured).  ...  over RDBMS and the future prospects of NoSQL.  ...  The main limitations with RDBMS are it is hard to scale with Data warehousing, Grid, Web 2.0. and Cloud applications [16] .  ... 
doi:10.29121/granthaalayah.v1.i1.2014.3086 fatcat:drzvgh6tcvflda52scih2dpqbi

Big Data, RDBMS and HADOOP - A Comparative Study

2016 International Journal of Science and Research (IJSR)  
RDBMS and its benefits had created a revolution in the field of data handling.  ...  What caused a reframing or casting away of RDBMS aside from data analysis and paving way for the new data handling system known as HADOOP is a great question.  ...  RDBMS A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model.  ... 
doi:10.21275/v5i3.nov162167 fatcat:3iygyl75sbecxkkgqiwk3dfbzq

Databases In The 21'st Century

Sujay i Saundatt
2022 International Journal for Research in Applied Science and Engineering Technology  
Abstract: NoSQL databases are the 21'st century databases created to defeat the disadvantages of RDBMS.  ...  In the vast majority of the NoSQL data set frameworks, information is parceled and repeated across numerous hubs.  ...  Management System (RDBMS).  ... 
doi:10.22214/ijraset.2022.43982 fatcat:zeqf6dw2wjb27jvofltuey7sqa

NoSQL Systems for Big Data Management

Venkat N. Gudivada, Dhana Rao, Vijay V. Raghavan
2014 2014 IEEE World Congress on Services  
-MySpace, Twitter, Facebook, YouTube, and Flickr Critically depend on integrated and real-time data from diverse sources Preponderance of insert and retrieval operations on a very large scale  ...  provide consistency and availability, and not partition tolerance Some RDBMS vendors are introducing new features into their products to mitigate the potential risk posed by NoSQL Type of data to be managed  ...  Is versioning of data required? Is cloud hosting a required deployment option?  ... 
doi:10.1109/services.2014.42 dblp:conf/services/GudivadaRR14 fatcat:nutp5smbwzbnrm46qnnyajoi2q

Hadoop based Data Processing and Mining for MRDS in Cloud

Ravindra P.Bachate, H. A. Hingoliwala
2014 International Journal of Computer Applications  
Cloud computing provides efficient computation and analysis for large data. To improve the performance of system for massive data, Hadoop provides Map Reduce technique.  ...  This project focuses on to provide real time information of mineral resources stored in cloud environment with minimum data processing time.  ...  But spatial data is available in the unstructured format and it is not easy for RDBMS is to cope with it.  ... 
doi:10.5120/15753-4260 fatcat:5ghrzkn23vfapfkfeyme56olzm

Database as a Service - Current Issues and Its Future [article]

Xi Zheng
2018 arXiv   pre-print
With the prevalence of applications in cloud, Database as a Service (DBaaS) becomes a promising method to provide cloud applications with reliable and flexible data storage services.  ...  We further elaborate our ongoing and future work on developing large real-world SaaS projects using this new DBaaS model.  ...  A tight integration of RDBMS with NoSQL shall provide a good solution for the large-scale cloud applications' database needs and make the cloud applications more scalable.  ... 
arXiv:1804.00465v1 fatcat:jadkyhkdivaktbu5kkiautuvfy

Big Data Analysis with MongoDB for Decision Support System

Sulistyo Heripracoyo, Roni Kurniawan
2016 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
And this research will be carried out migration of Relational Database (RDBMS) into the database MongoDB. Prototype will be create with the object of study is structured and unstructured data.  ...  This study aimed to explore more information about the big data and proceed with making an application prototype big data management.  ...  Management or management of big data is to organize, administer and governance of large volumes of data both structured and unstructured.  ... 
doi:10.12928/telkomnika.v14i2.3115 fatcat:m25isk6msjb4bkc6mytjrbsboq

Comparison between SQL and NoSQL Databases and Their Relationship with Big Data Analytics

Wajid Ali, Muhammad Usman Shafique, Muhammad Arslan Majeed, Ali Raza
2019 Asian Journal of Research in Computer Science  
features of each data store, advantages and disadvantages of NoSQL and RDBMS.  ...  In this paper we will discuss about SQL and NoSQL databases, comparison of traditional SQL with NoSQL databases for Big Data analytics, NoSQL data models, types of NoSQL data stores, characteristics and  ...  growing information management, optimized information use, and horizontal large-scale information scalability.  ... 
doi:10.9734/ajrcos/2019/v4i230108 fatcat:oobltju6tfdohlbyyhuh6fkxuy

Big Data Management Prototype Development for Analysis Various of Data

Sulistyo Heripracoyo
2015 Proceeding of the Electrical Engineering Computer Science and Informatics  
And this research will be carried out migration of Relational Database (RDBMS) into the database MongoDB. Prototype will be create with the object of study is structured and unstructured data.  ...  This study aimed to explore more information about the big data and proceed with making an application prototype big data management.  ...  Management or management of big data is to organize, administer and governance of large volumes of data both structured and unstructured.  ... 
doi:10.11591/eecsi.v2i1.774 fatcat:fovokx6y2fefjibotknzqil6ka

Performance Metrics for Decision Support in Big Data vs. Traditional RDBMS Tools & Technologies

Alazar Baharu, Durga Prasad
2016 International Journal of Advanced Computer Science and Applications  
'Big Data' term used for any collection of data or data sets which is so large and complex and difficult to process and manage using traditional data processing applications and existing Relational Data  ...  As the data increases in various dimensions with various features like structured, semi structured and unstructured with high velocity, high volume and high variety; the RDBMSs face another fold of challenges  ...  Manager.  ... 
doi:10.14569/ijacsa.2016.071128 fatcat:mjcd7hgzejginbklxar6ooc6xu

Big data storage and management in SaaS applications

Xi Zheng, Min Fu, Mohit Chugh
2017 Journal of Communications and Information Networks  
Big data is evolving with great velocity, large volumes, and great diversity. Such an amplification of data has brought into question the existing database tools in terms of their capabilities.  ...  The popularity of advanced computing has reached a level that has led to the generation of large data sets, which is also called Big data.  ...  In particular, multi-copy data dissemination and delay-constrained data query in large-scale mobile networks have become the focus of many studies [4, 5] .  ... 
doi:10.1007/s41650-017-0031-9 fatcat:qgxtsk365neq3l7t7ywgmuwq5u

No SQL Database Management Systems for Big Data

2020 International Journal of Engineering and Advanced Technology  
NoSQL do not have a fixed structure, they have a flexible structure and are suited for storing unstructured data produced in a large scale in various field.  ...  The traditional database management systems cannot handle the requirements of high availability, scalability and reliability emerged with Big Data.  ...  In contrast to RDBMS, NoSQL do not have a fixed structure. They have a flexible structure and are suited for storing unstructured data produced in a large scale in various field.  ... 
doi:10.35940/ijeat.d9145.069520 fatcat:xqjun2ufqjbpflrg4wztcu4qxe
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