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Can I read A Closer Look at Big Data Analytics on EtoBox?

A Closer Look at Big Data Analytics by R. Anandan, editor, Professor, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India. is a nonfiction available to read on EtoBox.

What is A Closer Look at Big Data Analytics about?

"Big Data Analytics is a field that dissects, efficiently extricates data from, or in any case manages informational indexes that are excessively huge or complex to be managed by customary information preparing application programming. Information with numerous cases (lines) offers more noteworthy factual force, while information with higher multifaceted nature may prompt a higher bogus disclosure rate. Enormous information challenges incorporate catching information, information stockpiling, information investigation, search, sharing, move, representation, and questioning, refreshing, data security and data source. Large information was initially connected with three key ideas: volume, variety and velocity. Consequently, huge information regularly incorporates information with sizes that surpass the limit of conventional programming to measure inside a satisfactory time and worth. Current utilization of the term enormous information will in general allude to the utilization of predictive analytics, user behavior analytics, or certain other progressed information investigation techniques that concentrate an incentive from information, and sometimes to a specific size of information

Who reads A Closer Look at Big Data Analytics?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
R. Anandan, editor, Professor, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamilnadu, India.
Publisher
Nova Science Publishers, Incorporated
Published
2021
Language
EN
ISBN
9781536194265
Category
nonfiction
Subjects
Mathematics, Computer Science, Reference

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