Programming Big Data Applications by Talia Domenico (7 results)
Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs
Talia, Domenico,Trunfio, Paolo,Marozzo, Fabrizio,Belcastro, Loris,Cantini, Riccardo,Orsino, Alessio
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hardcover. Condition: Good. Fast Shipping - Safe and Secure 7 days a week.
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Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 275 pages. 9.25x6.25x1.00 inches. In Stock.
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Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Buch. Condition: Neu. PROGRAMMING BIG DATA APPLICATIONS | Talia Domenico | Buch | Englisch | 2024 | WSPC (Europe) | EAN 9781800615045 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 refe…rred 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.
