Mastering Kibana 6.x: Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Packt Publishing Ltd, Jul 31, 2018 - Computers - 376 pages
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Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards

Key FeaturesExplore visualizations and perform histograms, stats, and map analyticsUnleash X-Pack and Timelion, and learn alerting, monitoring, and reporting featuresManage dashboards with Beats and create machine learning jobs for faster analyticsBook 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 learnCreate unique dashboards with various intuitive data visualizationsVisualize Timelion expressions with added histograms and stats analyticsIntegrate X-Pack with your Elastic Stack in simple stepsExtract data from Elasticsearch for advanced analysis and anomaly detection using dashboardsBuild dashboards from web applications for application logsCreate monitoring and alerting dashboards using BeatsWho 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.


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User Review - Flag as inappropriate

Ultimate book on Kibana, as I have just started learning Kibana and lack on in depth material was slowing down my learning pace. Thanks to author for writing in such detailed manner. I would like to recommend this book tk anyone who want to understand nitty grities of Kibana.

User Review - Flag as inappropriate

This book guided me to enhance my skills in kibana in a very professional manner . The best thing I found is the easy language of the book as no other book is available of Indian author in kibana . This book is giving insight of data analysis and guiding step by step to project data and statistics with easy tools like histogram, graphs etc . I am using kibana for giving presentations in my office and making reports. I strongly recommend this book for those who have to prepare reports and want to presents company data and statistics in easy understandable and presentable manner  


Revising the ELK Stack
Setting Up and Customizing the Kibana Dashboard
Exploring Your Data
Visualizing the Data
Dashboarding to Showcase Key Performance Indicators
Handling Time Series Data with Timelion
Interact with Your Data Using Dev Tools
Understanding XPack Features
Machine Learning with Kibana
Create Super Cool Dashboard from a Web Application
Different Use Cases of Kibana
Creating Monitoring Dashboards Using Beats
Best Practices
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About the author (2018)

Anurag Srivastava is a senior technical lead since 11 years in a multinational software company in web-based application development. He has led and handled teams and clients since 7 years of his professional career. Proficient in designing and deployment of scalable applications, he has multiple certifications in ML and data science using Python. He is well experienced with the Elastic stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, or relational databases.

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