January 2016
Intermediate to advanced
240 pages
4h 42m
English
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Chapter 4. Aggregations for Analytics
Elasticsearch is a search engine at the core but what makes it more usable is its ability to make complex data analytics in an easy and simple way. The volume of data is growing rapidly and companies want to perform analysis on data in real time. Whether it is log, real-time streaming of data, or static data, Elasticsearch works wonderfully in getting a summarization of data through its aggregation capabilities.
In this chapter, we will cover the following topics:
- Introducing the aggregation framework
- Metric and bucket aggregations
- Combining search, buckets, and metrics
- Memory pressure and implications
Introducing the aggregation framework
The aggregation functionality is completely different from search and enables ...
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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.