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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6 Streaming data: Bringing everything together
This chapter covers
- Learning about the streaming data pipeline model and its distributed framework
- Determining where streaming data applications and the data stream model meet
- Identifying where algorithms and data structures fit in data streams
- Setting up basic computing constraints and concepts inherent to data streams
- Giving some probabilistic background for the next two chapters to follow
Previous chapters introduced a number of algorithms/data structures for sketching (an important characteristic) huge amounts of data residing in a database or, as you saw in the application of the HyperLogLog in network traffic surveillance, arriving and expiring at a lightning rate. In this chapter, we will ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.