August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Summary
In this chapter, we used different techniques from Elasticsearch to gain insight about data modeling using real-world examples from IEX. We used the same examples to practice with different techniques. From the general recommendation, using data denormalization can provide easier management and maintenance and compose queries for search.
In the next chapter, we will introduce the aggregation framework. Aggregation can be thought of as a technique to build analytics on a set of documents. The framework consists of many building blocks that can be combined to build a complex summary of the data selected by the search query. There are many different types of aggregations, and we will cover the common methods, such as metric aggregation, ...
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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.