Book Image

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

By : Krishna Shah
Book Image

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

By: Krishna Shah

Overview of this book

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.
Table of Contents (17 chapters)
Free Chapter
Part 1: Exploring Kibana
Part 2: Visualizations in Kibana
Part 3: Analytics on a Dashboard
Part 4: Querying on Kibana and Advanced Concepts

Using Annotations

Have you ever needed a very simple yet easy-to-understand feature to denote a very important event in your dataset on the graph? Guess what? Annotations does the trick for you.

For example, if we want to mark an event where the product base price goes above 50, then we can do this by following these very simple steps:

  1. Navigate to TSVB, and switch to the Annotations tab.
  2. Go to Annotations and add data source as Data view. For example, Kibana_sample_data_ecommerce.
  3. Select the Time field (this can be a timestamp or a data field in your dataset): order_date.
  4. Enter Query String, where we define the rule/condition to be satisfied for the annotation to appear on the graph: products.base_price > 150.
  5. Select the field that we want to use to create annotations in product.base_price.
  6. Select Icon: bell.
  7. Enter a Mustache expression in the Row template, for example, the following in this case: {{product.base_price}}. (Uses Mustache language...