You're reading from Machine Learning with the Elastic Stack Gain valuable insights from your data with Elastic Stack's machine learning features

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781801070034

Length 450 pages

Edition 2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Camilla Montonen

Rich Collier

Bahaaldine Azarmi

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Table of Contents (19) Chapters

Preface

1. Section 1 – Getting Started with Machine Learning with Elastic Stack

2. Chapter 1: Machine Learning for IT FREE CHAPTER

3. Chapter 2: Enabling and Operationalization

4. Section 2 – Time Series Analysis – Anomaly Detection and Forecasting

5. Chapter 3: Anomaly Detection

6. Chapter 4: Forecasting

7. Chapter 5: Interpreting Results

8. Chapter 6: Alerting on ML Analysis

9. Chapter 7: AIOps and Root Cause Analysis

10. Chapter 8: Anomaly Detection in Other Elastic Stack Apps

11. Section 3 – Data Frame Analysis

12. Chapter 9: Introducing Data Frame Analytics

13. Chapter 10: Outlier Detection

14. Chapter 11: Classification Analysis

15. Chapter 12: Regression

16. Chapter 13: Inference

17. Other Books You May Enjoy

Appendix: Anomaly Detection Tips

Organizing data for better analysis

One of the nicest things about ingesting data via the Elastic Agent is that by default, the data collected is normalized using the Elastic Common Schema (ECS). ECS is an open source specification that defines a common taxonomy and naming conventions across data that is stored in the Elastic Stack. As such, the data becomes easier to manage, analyze, visualize, and correlate across disparate data types – including across both performance metrics and log files.

Even if you are not using the Elastic Agent or other legacy Elastic ingest tools (such as Beats and Logstash) and are instead relying on other, third-party data collection or ingest pipelines, it is still recommended that you conform your data to ECS because it will pay big dividends when users expect to use this data for queries, dashboards, and, of course, ML jobs.

Note

More information on ECS can be found in the reference section of the website at https://www.elastic.co/guide...