机读格式显示(MARC)

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• 005 20241127082800.0

• 008 230505s2024 si a b 001 0 eng

• 010 __ |a 2023017153

• 020 __ |a 9789811257117: |c CNY870.40

• 020 __ |a 9811257116

• 090 __ |a TP311/BM2

• 260 __ |a Singapore ; |a Hackensack, NJ : |b World Scientific, |c 2024.

• 035 __ |a (OCoLC)on1380997226

• 040 __ |a DLC |b eng |c DLC |e rda |d YDX |d OCLCO |d OCLCF |d OCLCO |d YDX |d UtOrBLW

• 050 00 |a QA76.9.B45 |b G86 2024

• 082 00 |a 005.7 |2 23

• 093 __ |a TP311 |2 5

• 100 1_ |a Gupta, Brij, |d 1982- |e author.

• 245 10 |a Big data management and analytics / |c Brij B Gupta, Asia University, Taiwan, Mamta, Thapar Institute of Engineering and Technology, India.

• 264 _1 |a Singapore ; |a Hackensack, NJ : |b World Scientific, |c 2024.

• 300 __ |a xxix, 257 pages : |b illustrations (some color) ; |c 24 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 0_ |a World Scientific series on future computing paradigms and applications ; |v vol. 1

• 504 __ |a Includes 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"-- |c Provided by publisher.

• 650 _0 |a Big data.

• 650 _0 |a Database management.

• 650 _0 |a Data mining.

• 700 0_ |a Mamta, |e author.

• 920 __ |a 233030 |z 1