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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
1 (1)
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Graph

Graph is another addition to X-Pack, which was earlier available as a standalone component and was also earlier named Graph. It is just adding the complete Graph application into X-Pack without the need to install it separately. It is a very powerful tool aimed at discovering how your terms are interrelated. It provides a simple yet elegant way to uncover the relations between indexed terms and how meaningful they are.

It can help you in a wide range of applications such as recommendation engines, discovering insights for multiple fields and how are they related, showing how you are connected to your friends on social networks, website analysis including vulnerabilities tracking, most used pages, recommending which section of the page a user will click after going on a page, and so on.

Graph can be used from two sources, that is, using the Graph Exploration API from Elasticsearch perspective or by using the interactive Graph visualization tool bundled into Kibana. The biggest advantage...

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