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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1 Introduction
This chapter covers
- What this book is about and its structure
- What makes this book different from other books on algorithms
- How massive datasets shape the design of algorithms and data structures
- How this book can help you design practical algorithms at a workplace
- Computer and system architecture fundamentals that make large amounts of data challenging for today’s systems
Since you picked up this book, you might be wondering what the algorithms and data structures for massive datasets are and what makes them different from “normal” algorithms you might have encountered thus far. Does the title of this book imply that the classical algorithms (e.g., binary search, merge sort, quicksort, depth-first search, breadth-first search, ...
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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.