Working with Elasticsearch SQL

In the last chapter, we touched upon the major components of the Elastic Stack. We went through the entire range of data processes, starting with Filebeat, Logstash, and Elasticsearch, before finally viewing it in Kibana. Although we only gave a simple example, you can still see that once the details can be handled, the feasibility and extensibility are great. That is why the Beats are so popular and extend to different areas to collect data. In this chapter, we will introduce Elasticsearch SQL. With Elasticsearch SQL, you can access full-text search and easily extend the functionality with a familiar query syntax. You can even see your results in the tabular views. Elasticsearch provides a variety of approaches, such as the REST API interface, the command-line interface, the JDBC (Java Database Connectivity) driver, and the ODBC (Open Database Connectivity...