The Working with ElasticSearch training course is designed to demonstrate the skills and knowledge needed to use Elasticsearch as a data index or data store with Kibana as the front-end and programatic access using the Application Program Interfaces (APIs) using Python.
The ElasticSearch training course begins by examining how to install, configure, and run Elasticsearch and Kibana. Next, it then explores how to configure Elasticsearch data mappings and simple data loading. The course concludes by assessing the various major Elasticsearch APIs are explored and exercised.
Prerequisites: The course assumes some familiarity with Python (limited), Extensible Markup Language (XML), JavaScript Object Notation (JSON), and command line tools.
Purpose
|
Learn how to work with ElasticSearch. |
Audience
|
Architects, developers, and administrators needing to use Elasticsearch as a data index or data store with Kibana |
Role
| Software Developer |
Skill Level
| Intermediate |
Style
| Learning Spikes - Workshops |
Duration
| 2 Days |
Related Technologies
| Search | Elk |
Productivity Objectives
- Describe the advantages of using Elasticsearch
- Describe at a high-level the architecture and key elements used within Elasticsearch
- Perform searches and analysis using Kibana
- Describe how indexing and search is performed by Elasticsearch
- Configure indexing and search parameters
- Query Elasticsearch using the HTTP APIs