Kibana 8.x – A Quick Start Guide to Data Analysis
Packt Publishing Limited (Verlag)
978-1-80323-216-4 (ISBN)
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 DescriptionUnleash 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 forIf 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.
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!
Table of Contents
Introduction to Kibana
Creating Data Views and Introducing Spaces
Discovering Data through Discover
How About We Visualize?
Powering Visualizations with Near Real-Time Updates
Data Analysis with Machine Learning
Graph Visualization
Finally, the Dashboard
ES|QL and Advanced Kibana Concepts
Query DSL and Management through Kibana
| Erscheinungsdatum | 10.02.2024 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-80323-216-1 / 1803232161 |
| ISBN-13 | 978-1-80323-216-4 / 9781803232164 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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