Uncover valuable business insights by leveraging the power of Kibana to navigate and interpret datasets for improved decision making
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.
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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Krishna Shah is a Data Architect with over 9 years of experience in the field of Data engineering and Data Analytics. Being based out in Australia, She has been a part of the official Elasticsearch - Kibana Trainings & has been into creating the courseware for the same. Moreover, She had been an integral part of designing and maintaining data engineering pipelines & thereby using Kibana for the visualization and analytics needs whilst she had worked in a startup based in India.
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