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Learning Elastic Stack 7.0

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

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (17) Chapters Close

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

Setting up the metadata database

We need to have a database that has metadata about the sensors. This database will hold the tables that we discussed in the Introduction to the application section.

We are storing the data in a relational database MySQL, but you can use any other relational database equally well. Since we are using MySQL, we will be using the MySQL JDBC driver to connect to the database. Please ensure that you have the following things set up on your system:

  1. MySQL database community version 5.5, 5.6, or 5.7. You can use an existing database if you already have it on your system.
  2. Install the downloaded MySQL database and log in with the root user. Execute the script available https://github.com/pranav-shukla/learningelasticstack/tree/v7.0/chapter-10/files/create_sensor_metadata.sql.
  3. Log in to the newly created sensor_metadata database and verify that the three...
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