Algorithms and Data Structures for Massive Datasets

Dzejla Medjedovic, Emin Tahirovic, Ines Dedovic

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dc.contributor.author	Dzejla Medjedovic, Emin Tahirovic, Ines Dedovic
dc.date.accessioned	2023-08-25T08:00:53Z
dc.date.available	2023-08-25T08:00:53Z
dc.date.issued	2022-07-05
dc.identifier.issn	978-1119231387
dc.identifier.uri	http://elib.ipa.government.bg:8080/xmlui/handle/123456789/1287
dc.description	Probabilistic sketching data structures for practical problems. Choosing the right database engine for your application. Evaluating and designing efficient on-disk data structures and algorithms. Understanding the algorithmic trade-offs involved in massive-scale systems. Deriving basic statistics from streaming data. Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods .that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy.	bg_BG
dc.language.iso	bg_BG	bg_BG
dc.relation.isformatof	Сигн: 710
dc.title	Algorithms and Data Structures for Massive Datasets	bg_BG
dc.type	Book	bg_BG