Results 181 to 190 of about 4,910 (220)
Some of the next articles are maybe not open access.

A review of modeling toolbox for BigData

2016 International Conference on Military Communications and Information Systems (ICMCIS), 2016
Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result. The remaining data is not relevant and it will slow down the processing.
Hadi Hashem, Daniel Ranc
openaire   +1 more source

Survey of BigData-as-a-Service Type

2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015
Big Data is used to find new value and brings us several benefits, which we didn't know before. Various analytics has been studied in Big Data area for benefits. Moreover, to reduce analysis time and to support real-time service to user, distributed processing can be an alternative solution.
Yunkon Kim   +3 more
openaire   +1 more source

A Survey on Bigdata in Healthcare

SSRN Electronic Journal, 2021
Big data refers to vast volumes of data that can be used to solve problems. It has piqued people's imagination over the last two decades due to the enormous promise it holds. Big data is generated, stored, and analyzed by a variety of public and private sector sectors to enhance the services they offer.
Sheena J. Popli   +3 more
openaire   +1 more source

NoSQL and BigData

2014
Most applications use a relational database like Oracle, MySQL, or Postgresql; however there is more too data storage then just SQL databases. There are:
Marten Deinum   +3 more
openaire   +1 more source

Business Intelligence and BigData

2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019
Currently, corporations generate a large amount of data through the products and services offered to their customers. Analyzing this data correctly provides the company with very useful information that allows it to achieve competitive advantages to the company.
Margarita Ramírez Ramírez   +3 more
openaire   +1 more source

Recent Quality Models in BigData Applications

2021 International Conference on Information Technology (ICIT), 2021
In this time the big data became an important part of all areas, it can be used in multiple industrials such as banking, education, government, networking, energy, health care, etc. So, because of that the huge amount of data became have problems or unnecessary data, and so that comes from the difficulty of measure the quality of these data.
Waleed Hattawi   +3 more
openaire   +1 more source

Data Model For Bigdata System For Multimedia

2021 3rd Asia Pacific Information Technology Conference, 2021
Big Data systems are characterized by the processing of data that is created in real time, has a different complexity, is variable and diverse and, most importantly, is huge. They require the application of innovative technologies, tools and methods in order to extract new and useful knowledge from them.
Janusz Bobulski, Mariusz Kubanek
openaire   +1 more source

Improving Throughput of BigData Applications

2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), 2019
The paper describes various performance problems and solutions to improve throughput of BigData Application like Redis, Kafka, memcache, Cassandra, ElasticSearch,..etc. Most of the solution to the problems are achieved by some of the techniques like bypassing linux kernel, minimizing system calls, efficiently using the multi core machine using ...
openaire   +1 more source

Stream processing with BigData: SSS-MapReduce

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012
We propose a Map Reduce based stream processing system, called SSS, which is capable of processing stream along with large scale static data. Unlike the existing stream processing systems that can work only on the relatively small on-memory data-set, SSS can process incoming streamed data consulting the stored data.
Hidemoto Nakada   +2 more
openaire   +1 more source

BigData: Issues, Challenges, Technologies and Methods

2019
With dramatically increase of emerging applications such as social media, sensors, videos and digital pictures data is become generating from everywhere. Due to characteristic of big data it becomes very difficult to manage, analysis, store, transport, and process the data using the existing traditional techniques.
Khalid Adam   +4 more
openaire   +1 more source

Home - About - Disclaimer - Privacy