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Kibana 8.x – A Quick Start Guide to Data Analysis: Learn data exploration, visualization, and dashboard building with Kibana - Softcover

 
9781803232164: Kibana 8.x – A Quick Start Guide to Data Analysis: Learn data exploration, visualization, and dashboard building with Kibana

Synopsis

Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision making

Key Features

  • Gain profound understanding of the end-to-end workings of Kibana
  • Explore the powerful administration features in Kibana 8.x for managing and supporting data ingestion pipelines
  • Build your own analytics and visualization solution from scratch
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Unleash the full potential of Kibana―an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendly interface, interactive visualizations, and robust features, including real-time data monitoring and advanced analytics, showing you how Kibana revolutionizes your approach to navigating and analyzing complex datasets.

Starting with the foundational steps of installing, configuring, and running Kibana, this book progresses systematically to explain the search and data visualization capabilities for data stored in the Elasticsearch cluster. You’ll then delve into the practical details of creating data views and optimizing spaces to better organize the analysis environment. As you advance, you'll get to grips with using the discover interface and learn how to build different types of extensive visualizations using Lens.

By the end of this book, you’ll have a complete understanding of how Kibana works, helping you leverage its capabilities to build an analytics and visualization solution from scratch for your data-driven use case.

What you will learn

  • Create visualizations using the Visualize interface in Kibana
  • Build shareable search dashboards to drill down and perform advanced analysis and reporting
  • Search data to make correlations and identify and explain trends
  • Embed dashboards, share links, and export PNG, PDF, or CSV files and send as an attachment
  • Configure and tweak advanced settings to best manage saved objects in Kibana
  • Implement several types of aggregations working behind the scenes of extensive visualizations

Who this book is for

If you’re a data analyst or a data engineer, this book is for you. It’s also a useful resource to database administrators, analysts, and business users looking to build a foundation in creating intuitive dashboards using Kibana 8.x and data analysis techniques for improved decision making. Foundational knowledge of Elasticsearch fundamentals will provide an added advantage.

Table of Contents

  1. Introduction to Kibana
  2. Creating Data Views and Introducing Spaces
  3. Discovering Data through Discover
  4. How About We Visualize?
  5. Powering Visualizations with Near Real-Time Updates
  6. Data Analysis with Machine Learning
  7. Graph Visualization
  8. Finally, the Dashboard
  9. Machine Learning in Kibana
  10. Query DSL and Management through Kibana

"synopsis" may belong to another edition of this title.

About the Author

Krishna Shah is a Data Architect with over 9 years of experience in the field of Data engineering and Data Analytics. Being based out in Australia, She has been a part of the official Elasticsearch - Kibana Trainings & has been into creating the courseware for the same. Moreover, She had been an integral part of designing and maintaining data engineering pipelines & thereby using Kibana for the visualization and analytics needs whilst she had worked in a startup based in India.

"About this title" may belong to another edition of this title.

  • PublisherPackt Publishing - ebooks Account
  • Publication date2024
  • ISBN 10 1803232161
  • ISBN 13 9781803232164
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages162

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