November 2024
Intermediate to advanced
236 pages
7h 31m
French
Content preview from Analyse avancée avec PySpark
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Chapitre 1. Analyser les Big Data
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Lorsque les gens disent que nous vivons à l'ère du big data, ils entendent par là que nous disposons d'outils pour collecter, stocker et traiter des informations à une échelle jusqu'alors inconnue. Les tâches suivantes n'auraient tout simplement pas pu être accomplies il y a 10 ou 15 ans :
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Construis un modèle pour détecter les fraudes à la carte de crédit en utilisant des milliers de caractéristiques et des milliards de transactions.
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Recommande intelligemment des millions de produits à des millions d'utilisateurs.
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Estimer le risque financier grâce à des simulations de portefeuilles comprenant des millions d'instruments.
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Manipule facilement les données génomiques de milliers de personnes pour détecter les associations génétiques avec les maladies.
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Évaluer l'utilisation des terres agricoles et le rendement des cultures pour améliorer l'élaboration des politiques en traitant périodiquement des millions d'images satellites.
Derrière ces capacités se cache un écosystème de logiciels libres qui peuvent exploiter des grappes de serveurs pour traiter des quantités massives de données. L'introduction/la publication d'Apache Hadoop en 2006 a conduit à une adoption généralisée de l'informatique distribuée. L'écosystème des big data et les outils ont évolué à un rythme rapide depuis lors. Les cinq dernières années ...
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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.