Building Analytics RESTful Services

So far, we have learned about basic features such as mapping, using the document analyzer, indexing, searching, and aggregation. We have also learned about advanced features such as Elasticsearch SQL, Elasticsearch Machine Learning (ML) jobs, and Elasticsearch-Hadoop (ES-Hadoop) for Apache Spark. In addition, we have studied how to write the programs with the Java high-level REST client and Spring Boot. In this chapter, we'll put these materials together to build an end-to-end real-world final project to help the readers understand how they fit together. We'll reuse some of the codes provided earlier and glue them together. This project provides a search analytics REST service powered by Elasticsearch. The data flow will be retrieved from Elasticsearch using the REST client. The data is then used to build a k-means clustering model...