June 2017
Beginner to intermediate
296 pages
7h 4m
English
Content preview from Frank Kane's Taming Big Data with Apache Spark and Python
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Running on a cluster
Ahead of time, I copied everything to AWS's S3 service, just so I can quickly access all of the scripts and data files that I need. I can use that to quickly copy over my script from S3 and also refer to my "big data" using S3 and URL. This means that I can just load my data directly from Amazon's S3 service. One of the good things about using Amazon Web Service's EMR cluster is that it has very fast and very good connectivity to S3, so S3 becomes a good choice for a distributed file system to use together with EMR. You can use s3n:// URLs when specifying file paths. You can also spin up an HDFS file system as well if you want to.
The next thing we'll do will be to spin up a EMR cluster for Spark using the AWS console. ...
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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.
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