Summary

In this chapter, we took a deep dive into ES|QL, Elasticsearch’s query language, where we have explored its building blocks such as indices, mappings, and queries to understand how data is structured and retrieved. We also grasped the magic of near-real-time search, which lets us perform analysis on live streams such as sports updates or financial transactions. We saw how we can unlock the hidden potential of Kibana with advanced settings such as custom index patterns, time formatting, and security controls. By mastering these elements, you’ll transform from a data consumer to a real-time data maestro, wielding ES|QL and Kibana to extract hidden patterns and insights from the ever-flowing stream of information.

Remember, advanced settings are powerful tools. However, it is important to use them wisely, backed up by understanding and caution. Well, with ES|QL and Kibana in hand, you’re now ready to conquer the ever-changing world of real-time data, transforming...