By Aboul Ella Hassanien, Visit Amazon's Ahmad Taher Azar Page, search results, Learn about Author Central, Ahmad Taher Azar, , Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy

ISBN-10: 3319110551

ISBN-13: 9783319110554

ISBN-10: 331911056X

ISBN-13: 9783319110561

This quantity presents demanding situations and possibilities with up to date, in-depth fabric at the software of massive info to advanced structures so as to locate ideas for the demanding situations and difficulties dealing with colossal info units purposes. a lot information this present day isn't natively in based structure; for instance, tweets and blogs are weakly based items of textual content, whereas pictures and video are dependent for garage and reveal, yet no longer for semantic content material and seek. accordingly reworking such content material right into a established layout for later research is a massive problem. information research, association, retrieval, and modeling are different foundational demanding situations handled during this e-book. the fabric of this publication can be important for researchers and practitioners within the box of massive facts in addition to complicated undergraduate and graduate scholars. all of the 17 chapters within the ebook opens with a bankruptcy summary and keywords checklist. The chapters are geared up alongside the strains of challenge description, similar works, and research of the implications and comparisons are supplied each time feasible.

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Additional resources for Big Data in Complex Systems: Challenges and Opportunities

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Managing big data using cloud computing is though cost effective, agile and scalable but involves some tradeoffs like possible downtime, data security, herd instinct syndrome, correct assessment of data collection, cost, validity of patterns. It’s not an easy ride and there is a gigantic task ahead to store, process and analyze big data using cloud computing. Before moving to big data using cloud following points should be taken care of • • • • Possible Downtime: Internet is the backbone of cloud computing.

After that, the on-premises option can become the cost-savings winner from an accounting perspective as the capital assets involved depreciate. 24 • 7 R. Vashist Validity of Patterns: The validity of the patterns found after the analysis of big data is another important factor. If the patterns found after analysis are not at all valid then the whole exercise of collecting, storing and analysis of data go in vain which involves effort, time and money. Discussions Big Data, just like Cloud Computing, has become a popular phrase to describe technology and practices that have been in use for many years.

However, cloud computing is the natural platform for storing big data but there are several trade offs to use both Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead 25 these technologies in unison. Cloud enables big data processing for enterprises of all sizes by relieving a number of problems, but there is still complexity in extracting the business value from a sea of data. Many big projects are failed due to the lack of understanding of problem associated with big data and cloud computing.

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Big Data in Complex Systems: Challenges and Opportunities by Aboul Ella Hassanien, Visit Amazon's Ahmad Taher Azar Page, search results, Learn about Author Central, Ahmad Taher Azar, , Vaclav Snasael, Janusz Kacprzyk, Jemal H. Abawajy


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