August 2019
Intermediate to advanced
560 pages
13h 41m
English
Content preview from Advanced Elasticsearch 7.0
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Preprocessing Documents in Ingest Pipelines
In the previous chapter, we learned all four aggregation families and practiced different types of aggregations with many examples, using investor exchange (IEX) and exchange-traded fund (ETF) historical data. We have completed the study on two key features of Elasticsearch – search and aggregation. In this chapter, we'll switch to the data preparation and enrichment features. You will recall from the Elasticsearch Architecture section of Chapter 1, Overview of Elasticsearch 7, that there are four types of Elasticsearch nodes, and one of them is the ingest node. You can preprocess documents through the predefined pipeline processors before the actual indexing operation starts. All nodes are enabled ...
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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.