November 2022
Intermediate to advanced
1064 pages
25h 43m
German
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Kapitel 32: Parallele Datenverarbeitung
In den Computern dieser Welt befinden sich gigantische Datenmengen aus den unterschiedlichsten Lebensbereichen, die über das Internet frei verfügbar sind und von jedermann ausgewertet werden können. Die NASA bietet jede Menge Bildmaterial von Weltraumprojekten an, darunter einen kompletten Infrarot-Atlas unserer Galaxis (45 TB). Twitter ermöglicht es Ihnen, den Stream von Tweets – die sogenannte Firehose – »abzuhören« und Kommunikationsdaten zu sammeln. Von Wikipedia bekommen Sie Traffic-Statistiken für drei Monate (150 GB).
Große Datenmengen (Big Data) zu verarbeiten, ist ein zeitaufwändiger Job. Manche Leute sagen, Big Data fängt da an, wo man sich ernsthaft Gedanken über die Effizienz der Auswertungsprogramme ...
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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.