Requirements for big data adoption for railway asset management
P McMahon, T Zhang, R Dwight - Ieee Access, 2020 - ieeexplore.ieee.org
Nowadays, huge amounts of data have been captured along with the day-to-day operation
of assets including railway systems. Hence, we have come to the era of big data. The …
of assets including railway systems. Hence, we have come to the era of big data. The …
A hybrid database approach using graph and relational database
HR Vyawahare, PP Karde… - … Conference on Research …, 2018 - ieeexplore.ieee.org
Database industry is recently facing a major challenge in gaining scalability and handling
multiple databases in one application. Relational database is clearly a well known standard …
multiple databases in one application. Relational database is clearly a well known standard …
A comparative study of MongoDB, ArangoDB and CouchDB for big data storage
A distinctive aspect of the current era is the ferocious amount of data that is generated and
processed in a daily basis. There is no wonder that this epoch is generally characterized as …
processed in a daily basis. There is no wonder that this epoch is generally characterized as …
[PDF][PDF] A comparative study of NoSQL system vulnerabilities with big data
K Fahd, S Venkatraman, FK Hammeed - International Journal of …, 2019 - academia.edu
With the emerging third wave in the development of the Internet, the past year has witnessed
huge data exposure resulting in cyber-attacks that have increased four times as that of the …
huge data exposure resulting in cyber-attacks that have increased four times as that of the …
Cloud based evaluation of databases for stock market data
About fifty years ago, the world's first fully automated system for trading securities was
introduced by Instinet in the US. Since then the world of trading has been revolutionised by …
introduced by Instinet in the US. Since then the world of trading has been revolutionised by …
[PDF][PDF] Self-Adaptable Infrastructure Management for Analyzing the Efficiency of Big Data Stores
K Mavrogiorgos, A Kiourtis… - Journal of Advances …, 2022 - researchgate.net
Currently a continuously increasing amount of data is generated and processed in a daily
basis towards improving decision-making and facilitating the gaining of insights. In this …
basis towards improving decision-making and facilitating the gaining of insights. In this …
Diastema: data-driven stack for big data applications management and deployment
A Kiourtis, Y Poulakis… - … Journal of Big …, 2023 - inderscienceonline.com
Most techniques for data processing run on standard infrastructure management systems,
while large datasets is being increasingly generated. The main challenge refers to using …
while large datasets is being increasingly generated. The main challenge refers to using …
[图书][B] Theory and practice of Business intelligence in healthcare
Business intelligence supports managers in enterprises to make informed business
decisions in various levels and domains such as in healthcare. These technologies can …
decisions in various levels and domains such as in healthcare. These technologies can …
Enhancing the performance of distributed big data processing systems using Hadoop and PolyBase
S Minukhin, V Fedko, Y Gnusov - Восточно-Европейский журнал …, 2018 - irbis-nbuv.gov.ua
Modern data processing technologies address the challenges associated with scaling,
flexibility of using different tools, access time and data query processing rate. It is necessary …
flexibility of using different tools, access time and data query processing rate. It is necessary …
Experimental Evaluation of Relationships Model Between Documents in MongoDB
A Hodijah, UT Setijohatmo - International Seminar of Science …, 2020 - atlantis-press.com
MongoDB is a document-oriented database technology that supports unstructured data
processing. In general, there are two approaches to modeling data relationships between …
processing. In general, there are two approaches to modeling data relationships between …