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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

5 (3)
By: Huage Chen, Yazid Akadiri

Overview of this book

Learn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.
Table of Contents (16 chapters)
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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...

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