Mastering Kibana 6.x

Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards
Key Features
Explore visualizations and perform histograms, stats, and map analytics

Unleash X-Pack and Timelion, and learn alerting, monitoring, and reporting features

Manage dashboards with Beats and create machine learning jobs for faster analytics


Book Description
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.


What you will learn
Create unique dashboards with various intuitive data visualizations

Visualize Timelion expressions with added histograms and stats analytics

Integrate X-Pack with your Elastic Stack in simple steps

Extract data from Elasticsearch for advanced analysis and anomaly detection using dashboards

Build dashboards from web applications for application logs

Create monitoring and alerting dashboards using Beats
Who this book is for
Mastering Kibana 6.x is for you if you are a big data engineer, DevOps engineer, or data scientist aspiring to go beyond data visualization at scale and gain maximum insights from their large datasets. Basic knowledge of Elasticstack will be an added advantage, although not mandatory.