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Více informací o knize Programming Big Data Applications Scalable Tools and Frameworks for Your Needs

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Anotace knihy

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. These 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 and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing big data analysis applications.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Programming Big Data Applications Scalable Tools and Frameworks for Your Needs
• Autor: Loris Belcastro, Riccardo Cantini
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 232
• EAN: 9781800615045
• ISBN: 1800615043
• ID: 43888530
• Nakladatelství: WORLD SCIENTIFIC PUB EUROPE
• Hmotnost: 562 g
• Datum vydání: 25. February 2024

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