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Kibana essentials : use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios /
Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios About This Book Perform real-time data analytics and visualizations, on streaming data, using Kibana Build beautiful visualizations and dashboards with simplicity and ease w...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
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| 008 | 151203s2015 enka o 001 0 eng d | ||
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| 020 | |z 9781784394936 | ||
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| 082 | 0 | 4 | |a 001.4226 |q OCoLC |
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| 100 | 1 | |a Gupta, Yuvraj, |e author. | |
| 245 | 1 | 0 | |a Kibana essentials : |b use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios / |c Yuvraj Gupta. |
| 246 | 3 | 0 | |a Use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 588 | |a Description based on online resource; title from cover page (Safari, viewed December 1, 2015). | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: An Introduction to Kibana; Understanding Elasticsearch; The basic concepts of Elasticsearch; Prerequisites for installing Kibana 4.1.1; Installation of Java; Installation of Java on Ubuntu 14.04; Installation of Java on Windows; Installation of Elasticsearch; Installation of Elasticsearch on Ubuntu 14.04; Installation of Elasticsearch on Windows; Installation of Kibana; Installation of Kibana on Ubuntu 14.04; Installation of Kibana on Windows | |
| 505 | 8 | |a Additional informationChanging the Elasticsearch configuration; Changing the Kibana configuration; Importing a JSON file into Elasticsearch; Installation of npm; Installation of npm on Ubuntu 14.04; Installation of npm on Windows; Installing elasticdump; Installing elasticdump on Ubuntu 14.04; Installing elasticdump on Windows; Summary; Chapter 2: Exploring the Discover Page; Understanding the time filter; Setting the time filter; The Auto-refresh page; Understanding the toolbar; Using the search bar; New Search; Save Search; Load Saved Search; Understanding the Fields list | |
| 505 | 8 | |a View field data informationFiltering by field; Functionalities of filters; The Enable filter; The Disable filter; The Pin filter; The Unpin filter; The Invert filter; The Toggle filter; The Remove filter; Understanding document data; Add a field to document data; Remove a field from document data; View data; Sorting documents; Moving fields in document data; Summary; Chapter 3: Exploring the Visualize Page; Understanding aggregations; Bucket aggregations; Date histogram; Histogram; Range; Date range; IPv4 range; Terms; Filters; Significant terms; GeoHash; Metric aggregations; Count; Sum | |
| 505 | 8 | |a AverageMin; Max; Unique count; Percentile; Percentile ranks; Steps for designing visualization; Step 1 -- selecting a visualization type; Step 2 -- selecting search data source; Step 3 -- the visualization canvas; Toolbar; Aggregation designer; Preview canvas; An explanation of visualization types; Area Chart; Overlap; Percentage; Wiggle; Silhouette; Data Table; Line Chart; Log; Square root; Markdown widget; Metric; Pie Chart; Tile Map; Shaded Circle Markers; Shaded GeoHash Grid; Heatmap; Desaturate map tiles; Vertical Bar Chart; Percentage; Grouped; Summary | |
| 505 | 8 | |a Chapter 4: Exploring the Dashboard PageUnderstanding the toolbar; The New Dashboard option; Adding visualizations; Using the search bar; The Save Dashboard option; The Load Saved Dashboard option; Sharing the saved dashboard; Understanding the dashboard canvas; Moving visualizations; Resizing visualizations; Editing visualizations; Removing visualizations; Embedding a dashboard in a web page; Understanding the debug panel; Table; Request; Response; Statistics; Summary; Chapter 5: Exploring the Settings Page; Indices; Configuring an index pattern; Setting the default index pattern | |
| 520 | |a Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios About This Book Perform real-time data analytics and visualizations, on streaming data, using Kibana Build beautiful visualizations and dashboards with simplicity and ease without any type of coding involved Learn all the core concepts as well as detailed information about each component used in Kibana Who This Book Is For Whether you are new to the world of data analytics and data visualization or an expert, this book will provide you with the skills required to use Kibana with ease and simplicity for real-time data visualization of streaming data. This book is intended for those professionals who are interested in learning about Kibana,its installations, and how to use it . As Kibana provides a user-friendly web page, no prior experience is required. What You Will Learn Understand the basic concepts of elasticsearch used in Kibana along with step by step guide to install Kibana in Windows and Ubuntu Explore the functionality of all the components used in Kibana in detail, such as the Discover, Visualize, Dashboard,and Settings pages Analyze data using the powerful search capabilities of elasticsearch Understand the different types of aggregations used in Kibana for visualization Create and build different types of amazing visualizations and dashboards easily Create, save, share, embed, and customize the visualizations added to the dashboard Customize and tweak the advanced settings of Kibana to ensure ease of use In Detail With the increasing interest in data analytics and visualization of large data around the globe, Kibana offers the best features to analyze data and create attractive visualizations and dashboards through simple-to-use web pages. The variety of visualizations provided, combined with the powerful underlying elasticsearch capabilities will help professionals improve their skills with this technology. This book will help you quickly familiarize yourself to Kibana and will also help you to understand the core concepts of this technology to build visualizations easily. Starting with setting up of Kibana and elasticsearch in Windows and Ubuntu, you will then use the Discover page to analyse your data intelligently. Next, you will learn to use the Visualization page to create beautiful visualizations without the need for any coding. Then, you will learn how to use the Dashboard page to create a dashboard ... | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Information visualization |2 fast | |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781784394936/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||