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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9 Introducing the external memory model
This chapter covers
- Introducing computer limitations that affect the design of data-intensive applications
- Introducing and describing the external memory model (DAM model)
- Building simple scanning, searching, and merging algorithms in external memory
- Reviewing use cases where data scientists and programmers work with huge files
- Using Big-O notation to measure I/O efficiency of the algorithms
This chapter introduces fundamental ideas that form part 3 of the book. We begin by introducing external memory algorithms and the external memory model [1]. This model will teach us how to view the efficiency of algorithms and data structures in the context of working with large datasets stored on disk.
Most applications ...
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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.