Programming big data applications scalable tools and frameworks for your needs

"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 storag...

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1. Verfasser:	Talia, Domenico (VerfasserIn)
Weitere Verfasser:	Trunfio, Paolo (VerfasserIn), Marozzo, Fabrizio (VerfasserIn), Belcastro, Loris (VerfasserIn), Cantini, Riccardo (VerfasserIn), Orsino, Alessio (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	New Jersey, London, Singapore, Beijing, Shanghai, Hong Kong, Taipei, Chennai, Tokyo World Scientific 2024
Schlagworte:	Software patterns > Software frameworks > Computer programming > Big data > FRAMEWORK > Paralleles Programm > Datenanalyse
Online Zugang:	Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:	"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"--
Beschreibung:	Literaturverzeichnis: Seite 259-266
Beschreibung:	xix, 275 Seiten Illustrationen, Diagramme
ISBN:	9781800615045 978-1-80061-504-5