August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Building Analytics RESTful Services
So far, we have learned about basic features such as mapping, using the document analyzer, indexing, searching, and aggregation. We have also learned about advanced features such as Elasticsearch SQL, Elasticsearch Machine Learning (ML) jobs, and Elasticsearch-Hadoop (ES-Hadoop) for Apache Spark. In addition, we have studied how to write the programs with the Java high-level REST client and Spring Boot. In this chapter, we'll put these materials together to build an end-to-end real-world final project to help the readers understand how they fit together. We'll reuse some of the codes provided earlier and glue them together. This project provides a search analytics REST service powered by Elasticsearch. ...
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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.