On our journey of learning about Elastic Stack 6.0, we have gained a strong understanding of Elasticsearch. We have learned about the strong foundations of Elasticsearch in the previous two chapters, and gained an in-depth understanding of its search use cases.
The underlying technology Apache Lucene was originally developed for text search use cases. Due to innovations in Apache Lucene and additional innovations in Elasticsearch, it has also emerged as a very powerful analytics engine. In this chapter, we will understand how Elasticsearch can serve as your analytics engine. We will look at the following:
- The basics of aggregations
- Preparing data for analysis
- Metric aggregations
- Bucket aggregations
- Pipeline aggregations
We will learn all of this by using a real-world dataset. Let us start by understanding the basics of aggregations...
