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

Product typeBook
Published inFeb 2024
PublisherPackt
ISBN-139781803232164
Edition1st Edition
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Author (1)
Krishna Shah
Krishna Shah
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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!
Read more about Krishna Shah

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Working with queries

Imagine a world where a famous e-commerce website that you wish to shop from doesn’t have a search bar! It is next to inevitable to have a feature to search, which in turn allows a user to type and do a quick look-up on the data. The constant need to search is increasing now, more than ever. In fact, every website, page, or frontend requires a search bar that facilitates the way a user can search the data:

Figure 3.6 – The Search bar

Figure 3.6 – The Search bar

Let’s start understanding the query language that is provided in the search bar of Discover.

Structuring KQL query (example)

Kibana Query Language, abbreviated as KQL, is a text-based query language that is used to filter data in Kibana. It works on a simple syntax of just searching for the terms we’re looking for in the search bar, or being more specific on what we’re searching for by providing a field against the word, shown as follows:

"field": ...
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Kibana 8.x – A Quick Start Guide to Data Analysis
Published in: Feb 2024Publisher: PacktISBN-13: 9781803232164

Author (1)

author image
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!
Read more about Krishna Shah