Filters








68,995 Hits in 7.3 sec

Big data challenge: a data management perspective

Jinchuan Chen, Yueguo Chen, Xiaoyong Du, Cuiping Li, Jiaheng Lu, Suyun Zhao, Xuan Zhou
2013 Frontiers of Computer Science  
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

S. Natarajan, S. Rajarajesware, Suresh Ram R
2019 International Journal of Scientific Research in Science and Technology  
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

Lidong Wang
2018 International journal of mathematical, engineering and management sciences  
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

Wei Fan, Albert Bifet
2013 SIGKDD Explorations  
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]

Martin Strohbach, Jörg Daubert, Herman Ravkin, Mario Lischka
2016 New Horizons for a Data-Driven Economy  
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]

Hajer Akid, Mounir Ben Ayed
2017 Advances in Intelligent Systems and Computing  
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

Lidong Wang, Guanghui Wang
2015 Computer Engineering and Applications Journal  
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

Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice Van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco (+3 others)
2018 Journal on Data Semantics  
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

R Venkateswara Reddy, Dr D. Murali
2018 International Journal of Engineering & Technology  
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)  
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

Samiya Khan, Xiufeng Liu, Kashish A. Shakil, Mansaf Alam
2017 Information Processing & Management  
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

Ali Shiri
2014 Advances in Classification Research Online  
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)

Dr. Kusum Lata Bharti
2018 International Journal for Research in Applied Science and Engineering Technology  
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

Cheryl Ann Alexander, Lidong Wang
2018 Journal of Business and Management Sciences  
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

Z. M. Khalid, S. R. M. Zeebaree
2021 Zenodo  
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
« Previous Showing results 1 — 15 out of 68,995 results