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Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
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Author (1):
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Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

Summary 

In this chapter, we covered machine learning jobs through which we can find anomalies in data, and, based on the analysis, it can forecast future trends. It uses the proprietary software for unsupervised machine learning to perform these analyses.

It has different types of jobs, such as single metric job, where we can analyze a single field at a time, a multi metric job, where we can combine more than one field in a single job to analyze, a population job, where it creates a format with a normal range of field data and, whenever any value goes beyond the range of the population, it marks the anomaly, and finally an advanced job, where we have more customization options and where we can tweak the job as per our requirements.

Apart from these different types of jobs, it is quite obvious that sometimes, we would not be able to decide the right type of job for the given...

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