000 02858nam a2200445 a 4500
001 000q0444
003 WSP
005 20260416153408.0
007 cr bnu|||unuuu
008 230926s2024 enka ob 001 0 eng
010 _a 2023033203
040 _aWSPC
_beng
_cWSPC
020 _z9781800615045
_q(hbk.)
020 _z1800615043
_q(hbk.)
020 _a9781800615052
_q(ebook)
020 _a1800615051
_q(ebook)
042 _apcc
050 0 0 _aQA76.76.P37
_bT35 2024
072 7 _aCOM
_x021030
_2bisacsh
072 7 _aCOM
_x094000
_2bisacsh
072 7 _aCOM
_x051000
_2bisacsh
082 0 0 _a005.7/11
_223/eng/20240130
049 _aMAIN
100 1 _aTalia, Domenico.
245 1 0 _aProgramming big data applications :
_bscalable tools and frameworks for your needs /
_cDomenico Talia ... [et al.].
260 _aLondon :
_bWorld Scientific Publishing Europe,
_c©2024.
300 _a1 online resource (296 p.) :
_bill.
504 _aIncludes bibliographical references and index.
505 0 _aIntroduction -- Big data concepts -- Programming models for big data -- Tools for big data applications -- Comparing programming tools -- Choosing the right framework to tame big data.
520 _a"In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. This data, commonly referred to as Big Data, are challenging current storage, processing, and analysis capabilities. New models, languages, systems, and algorithms continue to be developed to effectively collect, store, analyze and learn from Big Data. Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for Big Data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples, it also describes the most used frameworks for Big Data analysis like Hadoop, Spark, MPI, Hive, Storm, and others. We discuss and compare the different systems by highlighting the main features of each of them, their diffusion (both within their community of developers and users), and their main advantages and disadvantages in implementing Big Data analysis applications."--
_cProvided by publisher.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat reader.
650 0 _aSoftware patterns.
650 0 _aSoftware frameworks.
650 0 _aComputer programming.
650 0 _aBig data.
655 0 _aElectronic books.
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/q0444#t=toc
942 _cE-BOOK
999 _c49730
_d49730