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You're reading from Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789954395

Length 474 pages

Edition 2nd Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Sharath Kumar

Pranav Shukla

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Table of Contents (17) Chapters

Preface

1. Section 1: Introduction to Elastic Stack and Elasticsearch FREE CHAPTER

2. Introducing Elastic Stack

3. Getting Started with Elasticsearch

4. Section 2: Analytics and Visualizing Data

5. Searching - What is Relevant

6. Analytics with Elasticsearch

7. Analyzing Log Data

8. Building Data Pipelines with Logstash

9. Visualizing Data with Kibana

10. Section 3: Elastic Stack Extensions

11. Elastic X-Pack

12. Section 4: Production and Server Infrastructure

13. Running Elastic Stack in Production

14. Building a Sensor Data Analytics Application

15. Monitoring Server Infrastructure

16. Other Books You May Enjoy

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Downloading and installing Kibana

Just as with other components of the Elastic Stack, downloading and installing Kibana is pretty simple and straightforward.

Navigate to https://www.elastic.co/downloads/kibana-oss and, depending on your operating system, download the ZIP/TAR file, as shown in the following screenshot:

The Elastic developer community is quite vibrant, and new releases with new features/fixes get released quite often. While you have been reading this book, the latest Kibana version might have changed. The instructions in this book are based on Kibana version 7.0.0. You can click on the past releases link and download version 7.0.0 (kibana-oss) if you want to follow as is, but the instructions/explanations in this book should hold good for any 7.x release.

Kibana is a visualization tool that relies on Elasticsearch for querying data that is used to generate visualizations...

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Authors (2)

Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has over 14 years' experience in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.

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Sharath Kumar M N

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.

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