July 2022
Intermediate to advanced
304 pages
9h 15m
English
book
Algorithms and Data Structures for Massive Datasets
by Dzejla Medjedovic, Emin Tahirovic, Ines Schweigert
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Part 2 Real-time analytics
Thus far, we haven’t been concerned with the state in which massive data arrives at our disposal. All the algorithms we have gotten to know so far can be applied to continuously arriving data as well as to historical data residing in a big database system. The three chapters in part 2 present algorithms and data structures (sketches) whose design considerations and application context were driven by the continuous arrival of data tuples referred to as data streams. Here, due to the transient nature of the data at hand, algorithms have to operate efficiently and incorporate knowledge about the stream after each tuple seen. We achieve this by keeping sketches of a data stream. Some of them, like random samples, are general ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.