Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Creating a dashboard using MySQL data


As blog data is pushed into the Elasticsearch cluster, we need to create the index pattern in Kibana to fetch the Elasticsearch index data. To create the index pattern first of all, we need to click on the Management link on the left-hand menu, which will open the management page. Now, click on the Index Pattern tab on top links; once the page opens, click on the Create Index Pattern button, which will open the create index pattern page.

Now, type the Elasticsearch index name, bqstack, for the index pattern textbox under define index pattern. After typing the correct index name, we can see the green tick mark indicating that we have correctly mapped the index name. Now, click on the Next button that opens the configure settings page; here, we need to select the time filter field name from a dropdown.

A time filter field is very important as date time filter works on that field only, and we should use the appropriate field as a time filter field. Now, select...