May 2018
Intermediate to advanced
256 pages
7h 6m
English
Content preview from OpenStack for Architects - Second Edition
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Combining Data - MapReduce
MapReduce is a model and opinionized implementation for analyzing and summarizing business and enterprise data using a distributed and massively parallel algorithm on a cluster of servers (such as HDFS clusters.) The map portion provides a programmatic way to filter and sort data, whereas the reduce performs the final summary operations. The model that ties MapReduce together also orchestrates the processing across the distributed servers. As HDFS clusters, this provides redundancy and fault tolerance to each task submitted and prevents data loss or extra delays based on execution stalls.
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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.