big data issues and challenges pdf

Big Data Issues And Challenges Pdf

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Top 20 Latest Research Problems in Big Data and Data Science

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Kaisler and F. Armour and J. Espinosa and William H. Kaisler , F. Big data refers to data volumes in the range of exabytes and beyond.

Such volumes exceed the capacity of current on-line storage systems and processing systems. View on IEEE. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Background Citations. Methods Citations.

Results Citations. Supplemental Video. Explore Further Discover more papers related to the topics discussed in this paper. Figures, Tables, and Topics from this paper. Figures and Tables. Citation Type. Has PDF. Publication Type. More Filters. Big Data: The Path to Maturity. Research Feed. A study of big data and its challenges. Big data storage technologies: a survey. View 1 excerpt, cites background. View 1 excerpt, cites methods. Modeling and Management of Big Data: Challenges and opportunities.

Six Provocations for Big Data. View 1 excerpt, references background. Agencies rally to tackle big data. Mining tera-scale graphs: theory, engineering and discoveries.

Data Analysis Challenges. A Decision Framework for Cloud Computing. The pathologies of big data. View 2 excerpts, references background. Researchers' big data crisis; understanding design and functionality.

Assessing nation-state instability and failure. Dilemmas in a general theory of planning. Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.

Big data security challenges and strategies

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Kaisler and F. Armour and J. Espinosa and William H. Kaisler , F.

Big Data is performing a tremendous growth in various fields like healthcare, banking, finance, energy conservation, manufacturing and cyber technology. Among this, the most preferable data is consumed by the banking, medical and financial sector. The science and technology will not support financial institutions to maximize the cost of facts but also help them to attain competitive advantages, reduce costs, and convert challenges to possibilities and decrease risks in real time. The survey provides enlightenment for monetary services corporation to follow the new statistics sets and algorithms to business operations which will optimize capital allocation, money management and foreign money processing. Most of the companies and industries prefer data analytics for their business improvement. The objective of this survey is to discuss about various challenges, issues, application and research opportunity of the data analytics. Skip to main content Skip to main navigation menu Skip to site footer.

Citation: Sitalakshmi Venkatraman, Ramanathan Venkatraman. Big data security challenges and strategies[J]. AIMS Mathematics, , 4 3 : Article views PDF downloads Cited by 4. Figures 5.

Applications of Big Data Analytics

Sign in. E ven though Big data is in the mainstream of operations as of , there are still potential issues or challenges the researchers can address. Some of these issues overlap with the data science field. In this article, the top 20 interesting latest research problems in the combination of big data and data science are covered based on my personal experience with due respect to the Intellectual Property of my organizations and the latest trends in these domains [1,2].

Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones.

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Big Data: Survey, Technologies, Opportunities, and Challenges

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