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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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Setting up the latest data transform

While pivot data transforms are valuable for aggregating data and providing summaries for distinct entities, the latest data transform has a different application. It specifically replicates the most current document associated with each entity into the destination index. In this recipe, we will set up the latest data transform for our Rennes traffic data. The result of a data transform will help us to answer this question: For every route location, what was the last time the traffic jam happened?

Getting ready

To set up the latest data transform, you need to do and have the following:

  • Complete the previous recipe of this chapter, Creating a Logstash pipeline
  • At least one Elasticsearch node of your cluster set to the transform role

How to do it...

To further analyze the traffic data from Rennes and gain insights into traffic congestion, we can make use of Elastic Stack’s latest data transform feature to focus specifically...

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