Transform Data
In this chapter, we’ll cover the process of data transformation within the Elastic Stack. Data transformation is a pivotal step that transforms the vast influx of information in your systems into actionable insights. It converts raw data into meaningful metrics, and the Elastic Stack provides an extensive array of tools for this purpose.
The transformation of data within the Elastic Stack involves a variety of techniques. These include structuring your data with ingest pipelines, enriching it with contextual details ranging from geolocation to user profiles, reorganizing data using transforms, and downsampling, which is particularly essential for efficiently managing large volumes of time series data.
We will explore the numerous capabilities that the Elastic Stack provides for handling the types of use cases mentioned here. As you will see, the functionality extends across several components including Elastic Agents, Beats, Logstash, and Elasticsearch itself...
