
Learning Kibana 5.0
Description
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Key Features
[*] Introduction to data-driven architecture and the Elastic stack
[*] Build effective dashboards for data visualization and explore datasets with Elastic Graph
[*] A comprehensive guide to learning scalable data visualization techniques in Kibana
Book DescriptionKibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you'll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it's logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization.What you will learn
How to create visualizations in Kibana
Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana
Embed Kibana visualization on web pages
Scaffold, develop, and deploy new Kibana & Timelion customizations
Build a metrics dashboard in Timelion based on time series data
Use the Graph plugin visualization feature and leverage a graph query
Create, implement, package, and deploy a new custom plugin
Use Prelert to solve anomaly detection challenges
Who this book is forIf you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book.
More details
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Person
Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Content
Introduction to Data Driven Architecture
Installing and Setting up Kibana 5.0
Business Analytics with Kibana 5.0
Logging Analytics with Kibana 5.0
Metric Analytics with Metricbeat and Kibana 5.0
Graph Exploration in Kibana
Customizing Kibana 5.0 Timelion
Anomaly Detection in Kibana 5.0
Creating a Custom Plugin for Kibana 5.0
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
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