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An Efficient Distributed Data Processing Method for Smart Environment
2016
Indian Journal of Science and Technology
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This study illuminates the high velocity streaming data set on a database without losing any data from the streaming domain, to support Adhoc Querying from the data set and to provide a mechanism for fast ...
data processing and analytics using Large Scale Machine Learning. ...
domains and does not provide any feature for storage of large amount of data and real time analytics which is called as Big Data Problem. ...
doi:10.17485/ijst/2016/v9i31/95172
fatcat:jbni722vabhqliq2edcv37mi7m
Design Approach to Big data Systems in Developing and Maintaining the Information Security Systems
2016
IOSR Journal of Computer Engineering
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Proposed design generic systems that can provide near real-time analytic services for many netease applications, such as spam detection, game log analysis and social community mining. ...
In this paper, developing and maintaining the information security system to illustrate how those big data systems evolve and also describes some key design factors and challenges for future big data systems ...
, and real-time query processing for online analytics, and in-stream processing for continuous querying. ...
doi:10.9790/0661-1805036870
fatcat:iixpvp7yr5bs7fea34ejyusnei
A Survey on Data Analytics Framework
2017
International Journal of Engineering and Technology
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In recent years, much interest in developing Data analytics tools has been mainly intense on exploring and understanding massive data formats in social media and growing internet. ...
In this survey work, we present a comprehensive overview of the Data analytics tools, their merits and challenges. ...
Real time insertion and deletion is not available in Citus DB and also it does not support real time analytics.
B. ...
doi:10.21817/ijet/2017/v9i3/170903010
fatcat:42sbcexk6nhb3kow26rfxvb6pu
Parallel processing on Big Data in the context of Machine Learning and Hadoop Ecosystem: A Survey
2018
International Journal of Engineering & Technology
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On the other hand, in Big Data perspective, customary information methods and policies are not as much of capable. ...
As an effect, different categories of packages, distributions and technologies have been developed. In this paper an evaluation is done, this studies recent technologies developed for Big Data. ...
Thus researchers need to find new ways to optimize analytical techniques, to process data instances in very limited amount of time with lim-ited resources (i.e., memory) and to produce in real-time accurate ...
doi:10.14419/ijet.v7i2.7.10885
fatcat:goyvvzlwsbeifi62nrldkgp3yy
Implementing a Volunteer Notification System into a Scalable, Analytical Realtime Data Processing Environment
[chapter]
2016
Automation, Communication and Cybernetics in Science and Engineering 2015/2016
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This paper will focus on a basic concept for implementing a VNS approach into a scalable, fault-tolerant environment that uses state-of-the-art analytical tools to process information streams in real-time ...
In emergency scenarios, the velocity, low latency and reaction times of the system are essential, which results in the need of online stream-processing and real-time computational solutions. ...
ACKNOWLEDGMENT This paper is based on work done in the INTERREG IVa project EMuRgency (www.emurgency.eu). ...
doi:10.1007/978-3-319-42620-4_64
fatcat:pd2nu6qe5ffb3m76hoctaimfse
Big Data Analytics: A Perspective View
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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The process of diving into large amounts of data to discover patterns and disguised correlations is named as big data analytics. ...
Big data analytics challenges the situation of the present infrastructure of data storage management and also statistical data estimation. ...
The new release of SQLstream s-Server 3.0 performs better in real-time data collection, transformation, sharing and supporting real-time Big data management and analytics. ...
doi:10.23956/ijarcsse/sv7i5/0237
fatcat:mq75vo3n4rbihnc43mtpktzrru
Engineering Scalable Distributed Services for Real-Time Big Data Analytics
2017
2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)
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In particular, I focus on providing analysts flexibility with respect to the types of queries they can make on large data sets, in real time as well as over historical data. ...
This thesis would not have been possible without his big support, kindness, and patience. ...
I identify a set of concepts to make real-time and batch queries easy to create and deploy in a big data analytics environment. ...
doi:10.1109/bigdataservice.2017.22
dblp:conf/bigdataservice/JambiA17
fatcat:ffx657klkbbqvnv7v6yztb6tfi
I-BiDaaS Final Event
2020
Zenodo
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Watch the I-BiDaaS Final Event recording: Welcome and Introduction - Despina Kopanaki (FORTH) Keynote: A 5-years journey through the European Big Data Landscape - Nuria de Lama (Atos Research & Innovation ...
After three years of research and innovation, the I-BiDaaS project partners were delighted to share the main results in a free online event that was held on the 21st of December 2020. ...
business opportunities (support data sharing, exchange, and interoperability) Construct a safe environment for methodological big data experimentation, for the development of new products, services, and ...
doi:10.5281/zenodo.4384639
fatcat:iobhc3e7breprdornnetsrg4fm
Development of real-time big data analysis system for RHIPE-based marketing in the automobile industry
2018
International Journal of Engineering & Technology
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Among the methods that interconnect Hadoop and R, the R and Hadoop integrated programming environment (RHIPE) was developed in this study as a real-time big data analysis system for marketing in the automobile ...
In this study, we developed a real-time big data analysis system that can analyze the orders, reservations, and maintenance history contained in big data using the RHIPE method. ...
Furthermore, the big data stored in MongoDB must be extracted and aggregated for real-time big data analysis. ...
doi:10.14419/ijet.v7i3.33.21022
fatcat:gzcj74ijjveovkm6pyhlf5enuy
Hybrid Transactional/Analytical Processing
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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These applications require distributed data management systems that can handle fast concurrent transactions (OLTP) and analytics on the recent data. ...
The popularity of large-scale real-time analytics applications (real-time inventory/pricing, recommendations from mobile apps, fraud detection, risk analysis, IoT, etc.) keeps rising. ...
Recent years have seen the need for more real-time analytics. ...
doi:10.1145/3035918.3054784
dblp:conf/sigmod/OzcanTT17
fatcat:pvhwsr327jaunfdnhwotywguuu
Big Data Pilot Demo Days: I-BiDaaS Application to the Manufacturing Sector Webinar
2020
Zenodo
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The main goal of this big data pilot webinar was to demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the manufacturing sector. ...
Hosted by BDV PPP, BigDataStack, I-BiDaaS, Track & Know and Policy Cloud joined forces in a series of online demonstrations of innovative Big Data Technologies unlocking the potential of various applications ...
We can choose how many items per page to visualise
Production Process of Aluminium Die Casting -demo We can visualise in real time and quickly the sequence of engine block with their level of classification ...
doi:10.5281/zenodo.3944664
fatcat:hi6bjyrvwfazxfnqtrrjykze54
Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study
2018
Complexity
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Based on a comprehensive study of power system and Big Data, several challenges are summarized to unlock the potential of Big Data technology in the application of smart grid. ...
Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. ...
Acknowledgments This work is supported by the National Natural Science Foundation of China (51607177, 61433012, and U1435215), Shenzhen Science and Technology Innovation Commission application demonstration ...
doi:10.1155/2018/8496187
fatcat:2esxs54ixjbx7ijvct7hbffyji
Data centric computing for internet scale enterprises
2013
Proceedings of the ACM/SPEC international conference on International conference on performance engineering - ICPE '13
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of analytics
■ Intelligent decision-making using: "Mobile+Cloud+Analytics+Big Data" in context of transactions -Analytics become embedded and pervasive ■ Desire to have a large, low latency, "In ...
• Real-time Fleet Optimization System • Real-time Consumer Engagements • Low-latency B2B Interaction • Perfect scalability entails linear throughput increase and constant latency up to
hardware limits ...
Peers directly read and write the data at the end of the pointers using RDMA
Remote pointers & one-sided RDMA A server can export a remote pointer that refers to a data record in a pinned & registered ...
doi:10.1145/2479871.2479924
dblp:conf/wosp/Gao13
fatcat:74ooahyt5rannjuywj3nv3zwoq
Construing the big data based on taxonomy, analytics and approaches
2018
Iran Journal of Computer Science
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Big data have become an important asset due to its immense power hidden in analytics. ...
Every organization is inundated with colossal amount of data generated with high speed, requiring high-performance resources for storage and processing, special skills and technologies to get value out ...
By and large, deep learning has been applied to address significant problems in big data analytics such as semantic analysis, topic modeling, classification tasks, fast querying, real time analysis, and ...
doi:10.1007/s42044-018-0024-3
fatcat:teiovluolngepjyebzz2wnwjxu
FAST: Near Real-Time Searchable Data Analytics for the Cloud
2014
SC14: International Conference for High Performance Computing, Networking, Storage and Analysis
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for real-time data analytics. ...
FAST supports several types of data analytics, which can be implemented in existing searchable storage systems. ...
Architecture of Use Case FAST supports a fast and cost-effective scheme for near real-time data analytics. ...
doi:10.1109/sc.2014.67
dblp:conf/sc/HuaJF14
fatcat:fphoqrga7bekvfit3d7f5pr75a
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