<p>Processing Real World Datasets using Big Data Hadoop Tools</p>
Online Publishing @ NISCAIR
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Authentication Code |
dc |
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Title Statement |
<p>Processing Real World Datasets using Big Data Hadoop Tools</p> |
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Added Entry - Uncontrolled Name |
Deshai, N ; Department of Information Technology, S R K R Engineering college, Bhimavaram, AP, India Sekhar, B V D S; Department of Information Technology, S R K R Engineering college, Bhimavaram, AP, India Reddy, P V G D Prasad; Department of Computer Science & Systems Engineering, Andhra University, Visakhapatnam, AP, India Chakravarthy, V V S S S; Department of Electronics & Communication Engineering, Raghu Institute of Technology, Visakhapatnam, AP, India |
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Uncontrolled Index Term |
Apache Spark; Big Data; Hadoop; Map Reduce |
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Summary, etc. |
<p>Today’s digital world computations are extremely difficult and always demands essential requirements to significantly process and store an enormous size of datasets. Therefore, this is mostly structured, semi-structured and unstructured generated data with more velocity at beyond the limits and double day by day from a wide variety of applications. In the last decade, many organizations have been facing major problems in handling and processing massive chunks of data, which could not be processed efficiently due to the lack of enhancements on existing technologies. This paper, introduce advanced data processing tools to solve the extreme problems as efficiently by using the most recent and world’s primary powerful Map-Reduce framework, but it has few data processing issues. Therefore, recently Apache Spark fastest tool has introduced to overcome the limitations of Map Reduce.</p> |
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Publication, Distribution, Etc. |
Journal of Scientific and Industrial Research (JSIR) 2020-11-09 16:10:07 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/JSIR/article/view/40481 |
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Data Source Entry |
Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 7 |
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Language Note |
en |
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