Structuring Log Data

Structuring Log Data

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The eLearning is priced at $ 200.00 USD per participant


Summary

Logs aren’t always the easiest things to read, but Elasticsearch can help with that. This course teaches you how to structure your unstructured data using an Elasticsearch ingest node.
Note: This course is a module of the Logging specialization.

Description

Starting with a simple case of parsing a log file with a predefined parser, you will learn how to parse unstructured event data in hybrid cases using custom grok patterns. You will also learn how to handle and debug ingest errors along the way. After completing this course, you will be able to structure your log data however you want, regardless of its initial format.

Topics Covered

  • Structuring Unstructured Data
  • Extracting Fields
  • Combining Text Patterns with Grok
  • Advanced Grok Techniques
  • Hybrid Cases and Best Practices
Download Course Outline

Length

2-3 hours

Software Developers and Engineers, Data Architects, System Administrators, DevOps

Language

English

Prerequisites

We recommend you have taken Elasticsearch Engineer I and Elasticsearch Engineer II or possess equivalent knowledge. Engineer I and Engineer II teach the concepts that are the foundation upon which all specializations are built.

Requirements

  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Additional Information

Training Specializations

This course is a module of the Logging specialization. Find out how our focused Training Specializations can help you with your use case.

General Training Information

All training materials are provided via the Elastic training portal. Have training questions? Review our FAQ or email us.