August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Real-time analytics using Elasticsearch and Apache Spark
We will use the same anomaly detection example from the previous chapter. Instead of using the simple k-means clustering library function provided by scikit-learn, we will use ES-Hadoop, Spark SQL, and Spark MLlib to solve the problem. From our GitHub download site (https://github.com/PacktPublishing/Mastering-Elasticsearch-7.0/tree/master/Chapter17/eshadoop), there is a project that involves using the Python 3.6 Virtual Environment (virtualenv) to create an isolated environment for the project to have its own dependencies in its site packages. The project is self-contained and allows you to run it on its working environment. The following section is a reference for you if you're interested ...
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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.
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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.