Previous experience with Elastic Stack is not required. However, some knowledge of data warehousing and database concepts will be beneficial.
To get the most out of this book
by Sharath Kumar M N, Pranav Shukla
Learning Elastic Stack 7.0 - Second Edition
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Introduction to Elastic Stack and Elasticsearch
- Introducing Elastic Stack
- Getting Started with Elasticsearch
- Section 2: Analytics and Visualizing Data
- Searching - What is Relevant
- Analytics with Elasticsearch
- The basics of aggregations
- Preparing data for analysis
- Metric aggregations
- Bucket aggregations
- Pipeline aggregations
- Summary
- Analyzing Log Data
- Building Data Pipelines with Logstash
- Visualizing Data with Kibana
- Section 3: Elastic Stack Extensions
- Elastic X-Pack
- Section 4: Production and Server Infrastructure
- Running Elastic Stack in Production
- Hosting Elastic Stack on a managed cloud
- Hosting Elastic Stack on your own
- Backing up and restoring
- Setting up index aliases
- Setting up index templates
- Modeling time series data
- Summary
- Building a Sensor Data Analytics Application
- Introduction to the application
- Modeling data in Elasticsearch
- Setting up the metadata database
- Building the Logstash data pipeline
- Sending data to Logstash over HTTP
- Visualizing the data in Kibana
- Summary
- Monitoring Server Infrastructure
- Other Books You May Enjoy
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