August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Spark and Elasticsearch for Real-Time Analytics
In the previous chapter, we looked at the machine learning feature of Elastic Stack. We used a single metric job to track one-dimensional data (with the volume field of the cf_rfem_hist_price index) to detect anomalies by using Kibana. We also introduced the scikit-learn Python package and performed the same anomaly detection, but with three-dimensional data (with two more fields: changePercent and changeOverTime)
by using Python programming.
In this chapter, we will look at another advanced feature, which is known as Elasticsearch for Apache Hadoop (ES-Hadoop). The ES-Hadoop feature contains two major areas. The first area is the integration of Elasticsearch with Hadoop distributed computing ...
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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.