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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2 Review of hash tables and modern hashing
This chapter covers
- Reviewing dictionaries and why hashing is ubiquitous in modern systems
- Refreshing the basic collision-resolution techniques
- Exploring cache efficiency in hash tables
- Using hash tables for distributed systems and consistent hashing
- Learning how consistent hashing works in P2P networks
We begin with the topic of hashing for a number of reasons. First, classical hash tables have proved irreplaceable in modern systems, making it harder to find a system that does not use them than one that does. Second, recently there has been a lot of innovative work addressing algorithmic issues that arise as hash tables grow to fit massive data, such as efficient resizing, compact representation, ...
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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.