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Kibana 8.x – A Quick Start Guide to Data Analysis

You're reading from Kibana 8.x – A Quick Start Guide to Data Analysis

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781803232164

Pages 198 pages

Edition 1st Edition

Languages

Concepts

Data Engineering

Author (1):

Krishna Shah

Table of Contents (17) Chapters

Preface

1. Part 1: Exploring Kibana

2. Chapter 1: Introduction to Kibana

3. Chapter 2: Creating Data Views and Introducing Spaces

4. Chapter 3: Discovering the Data through Discover

5. Part 2: Visualizations in Kibana

6. Chapter 4: How About We Visualize?

7. Chapter 5: Powering Visualizations with Near Real-Time Updates

8. Part 3: Analytics on a Dashboard

9. Chapter 6: Data Analysis with Machine Learning

10. Chapter 7: Graph Visualization

11. Chapter 8: Finally, the Dashboard

12. Part 4: Querying on Kibana and Advanced Concepts

13. Chapter 9: ES|QL and Advanced Kibana Concepts

14. Chapter 10: Query DSL and Management through Kibana

15. Index

Why subscribe?

16. Other Books You May Enjoy

Who this book is for

Calling all data curious, analysis enthusiasts, and visualization voyagers! Whether you’re a seasoned data wrangler or a wide-eyed newbie, this book welcomes you with open arms (and dashboards!). This book is your launchpad to unlock the power of Kibana, the interactive data visualization platform that transforms raw numbers into captivating stories. If you’re hungry to explore hidden patterns, unearth trends from your data, and paint vibrant pictures of insights, then this guide is your compass. Whether you’re a marketer charting customer journeys, an IT whiz troubleshooting server logs, or a scientist diving into research findings, Kibana has a seat for you at its analysis table. So, ditch the spreadsheets and dive into the dynamic world of data visualization – we’ll start with baby steps and soon have you dancing with dashboards.

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Authors (1)

Krishna Shah

Krishna Shah is a data architect from Melbourne, Australia with 9+ years of experience, and she knows how to make data work. She's been an official trainer for Elasticsearch and Kibana, crafting the courses that empower people to unlock the secrets of data. Prior to that, she worked for a start-up in India as the data engineer behind building and maintaining data engineering pipelines, then transforming that raw information into stunning visuals and insights using Kibana and other data engineering technologies. Today, she's an advocate, a mentor, and a bridge-builder, inviting everyone to find their own rhythm in the data's dance. Whether you're a novice or seasoned analyst, brace yourself for her infectious enthusiasm and knack for making the driest of datasets sing!

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