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06788nmm a2200397 u 4500 |
| 001 |
EB002200326 |
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EBX01000000000000001337529 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
240402 ||| eng |
| 020 |
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|a 9781803244051
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| 050 |
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4 |
|a QA76.9.I52
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| 100 |
1 |
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|a Shah, Krishna
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| 245 |
0 |
0 |
|a Kibana 8.x
|h [electronic resource]
|b a Quick Start Guide to Data Analysis : Learn about Data Exploration, Visualization, and Dashboard Building with Kibana
|c Krishna Shah
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| 250 |
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|a 1st edition
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| 260 |
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|a Birmingham
|b Packt Publishing, Limited
|c 2024
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| 300 |
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|a 198 p.
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| 505 |
0 |
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|a Part 3: Analytics on a Dashboard -- Chapter 6: Data Analysis with Machine Learning -- Technical requirements -- Understanding anomaly detection in time series data -- How does the machine learning algorithm work? -- Analyzing data with entity-centric analysis -- Transforms -- DataFrame analytics -- APIs to implement to know more about machine learning -- Setting up alerts -- Summary -- Chapter 7: Graph Visualization -- Technical requirements -- Creating a graph -- Customizing a graph -- Troubleshooting a graph -- Performance-related issues -- Finding out whether there are any missing results
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| 505 |
0 |
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|a Key points for supporting data from multiple indices -- Summary -- Chapter 8: Finally, the Dashboard -- Technical requirements -- Exploring sample dashboards -- Creating a dashboard from scratch -- Understanding a logging use case on a dashboard -- Sharing the dashboard -- Summary -- Part 4: Querying on Kibana and Advanced Concepts -- Chapter 9: ES|QL and Advanced Kibana Concepts -- Technical requirements -- Learning the ES|QL building blocks -- Understanding how ES|QL works -- Advanced Kibana concepts -- Runtime fields -- Advanced Kibana settings -- Summary
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| 505 |
0 |
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|a Elasticsearch -- a document store -- Datatypes in Elasticsearch -- The Discover page -- Working with queries -- Structuring KQL query (example) -- Pairing the queries with Boolean operators -- Searching numeric fields -- How to search when you don't know how to spell what you wish to search for -- Creating a saved search -- Steps to create a saved search -- Summary -- Part 2: Visualizations in Kibana -- Chapter 4: How About We Visualize? -- Technical requirements -- Exploring Lens visualizations -- Deep diving into the backend of visualizations in Kibana
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| 505 |
0 |
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|a Cover -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Exploring Kibana -- Chapter 1: Introduction to Kibana -- Technical requirements -- Getting an overview of Kibana -- Installation -- Configuration -- Running Kibana -- Understanding data integrations -- Summary -- Chapter 2: Creating Data Views and Introducing Spaces -- Technical requirements -- Exploring data views -- Creating spaces -- Understanding saved objects in Kibana -- Summary -- Chapter 3: Discovering the Data Through Discover -- Exploring your data
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| 505 |
0 |
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|a Understanding Canvas, Maps, and Markdown visualizations -- Building Canvas visualizations -- Building Maps visualizations -- Building Markdown visualizations -- Summary -- Chapter 5: Powering Visualizations with Near Real-Time Updates -- Technical requirements -- Understanding how to create TSVB visualizations -- Understanding the Aggregation dropdown in the Data tab -- Understanding the Group by dropdown in the Data tab -- Exploring the Metric, Top N, Gauge, Markdown, and Table types of TSVB -- Top N and Gauge -- Markdown and Table -- Putting TSVB to use -- Using Annotations -- Summary
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| 653 |
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|a Visualisation de l'information
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Information visualization / http://id.loc.gov/authorities/subjects/sh2002000243
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| 653 |
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|a Exploration de données (Informatique)
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Description based upon print version of record. - Chapter 10: Query DSL and Management through Kibana
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| 776 |
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|z 9781803232164
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| 776 |
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|z 1803232161
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781803232164/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 001.4/226
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| 520 |
|
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|a 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.
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| 520 |
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|a Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision making 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 Description 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.
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| 520 |
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|a 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 for If 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
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