| 000 | 02427nam a22002417a 4500 | ||
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| 003 | 0 | ||
| 005 | 20240930123200.0 | ||
| 008 | 240930b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9789811257117 | ||
| 050 |
_aQA 76.9 _b.G87 2024 |
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| 100 |
_aGupta, Brij B., _eauthor. |
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| 245 |
_aBig data : _bmanagement and analytics / _cBrij B. Gupta, Mamta. |
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| 260 |
_aSingapore : _bWorld Scientific Publishing Co. Pte. Ltd., _c2024. |
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| 300 |
_axxix, 257 p. : _bill. ; _c24 cm. |
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| 440 |
_aWorld Scientific series on future computing paradigms and applications ; _vvol. 1 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge. Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape. Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system. Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance"-- Provided by publisher. | ||
| 650 | _aBig data. | ||
| 650 | _aDatabase management. | ||
| 650 | _aData mining. | ||
| 700 |
_aMamta, _eauthor. |
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| 942 |
_2lcc _cBK |
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| 999 |
_c366419 _d366419 |
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