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Big data challenge: a data management perspective
2013
Frontiers of Computer Science
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Acknowledgements This work was partially done when the authors worked in SA Center for Big Data Research in Renmin University of China. ...
This paper was also partially supported by Beijing Natural Science Foundation (Grant No. 4112030) and National Natural Science Foundation (Grant No. 61170011) and China National Social Security Foundation ...
a feasible and effective approach before big data analysis and management. ...
doi:10.1007/s11704-013-3903-7
fatcat:iialac4ksbgkthayla4sioxtcq
Power of Big Data System for Storing and Processing Huge Data
2019
International Journal of Scientific Research in Science and Technology
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This challenging task of storing and managing huge volume of data is achieved in Big Data Systems. ...
Big data uses storage of huge data with some approaches and techniques to manage and process them. ...
vii) Flink
Apache Flink is an open source system very much
useful in data analysis. ...
doi:10.32628/ijsrst196422
fatcat:golivpxwpfb5licqfnpstrz67q
Big Data and IT Network Data Visualization
2018
International journal of mathematical, engineering and management sciences
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The challenges of visualization and Big Data analytics in IT network visualization are also discussed. ...
Applications and technology progress of visualization in IT network analysis and big data in IT network visualization are presented. ...
The characteristics of big data make it a challenge to visualize big data. ...
doi:10.33889/ijmems.2018.3.1-002
fatcat:vghrgd2535gfxejhg3qp5yrjq4
Mining big data
2013
SIGKDD Explorations
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Big Data is a new term used to identify the datasets that due to their large size and complexity, we can not manage them with our current methodologies or data mining software tools. ...
The Big Data challenge is becoming one of the most exciting opportunities for the next years. ...
ACKNOWLEDGEMENTS We would like to thank Jimmy Lin, Dmitriy Ryaboy, Jiawei Han, Yizhou Sun, U Kang, Christos Faloutsos and Xavier Amatriain for contributing to this special section. ...
doi:10.1145/2481244.2481246
fatcat:4desfvwbqrfhpgez4cm7wwxwtu
Big Data Storage
[chapter]
2016
New Horizons for a Data-Driven Economy
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of provenance data in all forms of big data storage and remains an open challenge. ...
Key Insights for Big Data Storage As a result of the analysis of current and future data storage technologies, a number of insights were gained relating to data storage technologies. ...
doi:10.1007/978-3-319-21569-3_7
fatcat:r7huxlg35fdulovdvoo2t2tfna
Towards NoSQL Graph Data Warehouse for Big Social Data Analysis
[chapter]
2017
Advances in Intelligent Systems and Computing
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The paper will also focus on the opportunities and challenges of using NoSQL graph databases for storing and querying Big Social Data and how graph theory can help to mine information from these data warehouses ...
The current state of the art of proposed NoSQL data warehouses is captured and discussed in this paper. ...
Many methods, architectures and tools for big data analysis must be established to meet the challenges of this phenomenon. ...
doi:10.1007/978-3-319-53480-0_95
fatcat:ydhgizxdxngprd3dglapiskmpa
Data Mining Applications in Big Data
2015
Computer Engineering and Applications Journal
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This paper introduces methods in data mining and technologies in Big Data. Challenges of data mining and data mining with big data are discussed. ...
Some technology progress of data mining and data mining with big data are also presented. ...
computing, data mining/analysis, and visualization. GraphLab: high-level graph-parallel system built without using MapReduce. Excel: It provides powerful data processing and statistical analysis capabilities ...
doi:10.18495/comengapp.v4i3.155
fatcat:w5gqffk5u5aahld5gzp354d6wu
Big Data Semantics
2018
Journal on Data Semantics
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It is, however, largely recognized that Big Data impose novel challenges in data and infrastructure management. ...
In this paper, the third of its kind co-authored by members of IFIP WG 2.6 on Data Semantics, we propose a review of the literature addressing these topics and discuss relevant challenges for future research ...
Metadata management opens challenges that affect almost all aspects of Big Data [26] . ...
doi:10.1007/s13740-018-0086-2
fatcat:bhbeyntbtzdkvf5t3dcko42jpy
Analyzing Indian healthcare data with big data
2018
International Journal of Engineering & Technology
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The Big Data analysis with Hadoop plays an active role in performing significant real-time analyzes of the enormous amount of data and able to predict emergency situations before this happens. ...
Big Data is the enormous amounts of data, being generated at present times. ...
[Li Zhu et.al 2018] This author discussed some open challenges related to the use of Big Data analysis in Intelligent Transportation Systems (ITS)
HDFS is one of the two main components of the Hadoop ...
doi:10.14419/ijet.v7i3.29.18467
fatcat:seisd2biovghlmiy34rgapmnha
Challenges with Big Data Analytics
2015
International Journal of Science and Research (IJSR)
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The aim of this research is to investigate specific challenges introduced with Big Data Analytics. ...
Big Data Analytics is high-focus of data science. Huge volumes of business data collected from diverse sources can provide a tremendous scope to understand business trends and customer behavior. ...
A problem with current Big Data analysis is the lack of coordination between database systems, which host the data and provide SQL querying, with analytics packages that perform various forms of non-SQL ...
doi:10.21275/v4i12.nov152088
fatcat:5oyf5j4ufjdajm6hnoz3ineorq
A survey on scholarly data: From big data perspective
2017
Information Processing & Management
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This research paper aims to study the current trends in cloud-based data management and analytics of big scholarly data and identify the challenges that continue to exist in the different phases of the ...
Summary of Big Scholarly Data Management Challenges Storing and processing an ever-increasing volume of data is a recurring challenge. ...
doi:10.1016/j.ipm.2017.03.006
fatcat:3asm74kqwrg4bdqe6l7u2wgseq
Linked Data Meets Big Data: A Knowledge Organization Systems Perspective
2014
Advances in Classification Research Online
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analysis, organization, representation, visualization and access to big data. ...
The objective of this paper is a) to provide a conceptualanalysis of the term big data and b) to introduce linked dataapplications such as SKOS-based knowledge organizationsystems as new tools for the ...
LINKED VOCABULARIES FOR DATA MANAGEMENT AND ACCESS One of the key challenges in addressing the management and effective use of big data is associated with text and natural language. ...
doi:10.7152/acro.v24i1.14672
fatcat:g4ucxtwamrfe7ezsbarxgpwhke
A Brief Survey on Data Mining using Latest Technology (Big Data)
2018
International Journal for Research in Applied Science and Engineering Technology
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This paper comprises the information about big data, importance of big data, method, problems and data mining using data. ...
Big Data mining is the facility of taking out valuable information from these large data values, that due to its volume, variability, and velocity, it was not possible before to do it. ...
Now talk about different type of data analysis and reporting tools, and how they can be set up to initialize and proceed the process of big data analysis.
V. OPEN SOURCE BIG DATA TOOLS A. ...
doi:10.22214/ijraset.2018.7082
fatcat:kouqo2gv5fbqjk4erx6iwellj4
Big Data and Data-Driven Healthcare Systems
2018
Journal of Business and Management Sciences
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Big data and Big Data analytics in healthcare systems are presented in this paper. Information security, privacy, and challenges of Big Data analytics in healthcare are also discussed. ...
Traditional data management techniques are often unable to manage the voluminous amounts of data produced in healthcare systems. ...
Hadoop is one of the most important open-source big data platforms, and it simplifies the processing and management of big data by means of the MapReduce model and sophisticated ecosystem. ...
doi:10.12691/jbms-6-3-7
fatcat:dkq67ndconhktpvjhf4gkbtqey
Big Data Analysis for Data Visualization: A Review
2021
Zenodo
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One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to data integration and the process of big data problems. ...
This paper reviews and provides data visualization and the Heterogeneous Distributed Storage description and their challenges using different methods through some previous researches. ...
The biggest problem when dealing with big data is how to manage huge data volumes and efficiently show the practical and usable outcomes of data visualization and analysis. ...
doi:10.5281/zenodo.4462041
fatcat:4aq7yakfsnhr3csdv6udswaqzi
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