October 2019
Beginner
186 pages
5h 39m
English
Content preview from Elasticsearch 7 Quick Start Guide
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Aggregating Datasets
Data aggregation provides us with a way to extract the information from a huge set of data and present it in a summary form. We can group the information in various buckets to get an idea of various categories or ranges. Let's take an example of a shopping site where we have complete data regarding products and their prices. Now, if we want to categorize the products into different price ranges, then we have to apply data aggregation. In the same way, we can also apply aggregation of product categories. In this chapter, we will cover the different types of aggregations that Elasticsearch provides, such as metrics, bucket, pipeline, and matrix aggregation. In this chapter, we are going to cover the following topics:
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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.