Course : Elasticsearch, Logstash and Kibana: Indexing, searching, and viewing data

Elasticsearch, Logstash and Kibana: Indexing, searching, and viewing data

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4,4 / 5
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Elasticsearch is a data indexing and search engine that offers innovative search and analysis features. In this course, you’ll use it to index, search, and view data and documents and learn the main development approaches that go with it.


Inter
In-house
Custom

Practical course in person or remote class

Ref. ELK
Price : 1620 € E.T.
  2d - 14h00
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Elasticsearch is a data indexing and search engine that offers innovative search and analysis features. In this course, you’ll use it to index, search, and view data and documents and learn the main development approaches that go with it.

Teaching objectives
At the end of the training, the participant will be able to:
  • Understand the key principles of installing and configuring Elasticsearch, logstash, and Kibana
  • Evaluate the possibilities offered by Elasticsearch, logstash, and Kibana
  • Know how to use Elasticsearch, logstash, and Kibana to index, search, and view data and documents
  • Discover the most common application development approaches

Intended audience
CTOs, technical project managers, application managers, operational managers.

Prerequisites
Basic knowledge of development and administering a Windows or Linux/Unix operating system.

Course schedule

Overview and installation of Elasticsearch, logstash, and Kibana.

  • Overview and history of Elasticsearch, logstash, and Kibana.
  • Installation prerequisites. "As a Cloud” installation.
  • Using Elasticsearch, logstash, and Kibana.
  • Configuring Elasticsearch.
  • Key principles of Elasticsearch administration.
  • Developing applications using Elasticsearch.
  • The impact of Elasticsearch on the architecture and existing applications.
  • Roles of logstash and Kibana.
Case study
Architecture of a standard installation using an Elasticsearch server for large query volumes and indexing.

How Elasticsearch works

  • Overview of Apache Lucene.
  • The architecture and key concepts.
  • The JSON exchange format with Service Containers.
  • The REST API.
  • Scoring and relevance of queries.
  • Data storage and simple searches.
Hands-on work
Data storage in Elasticsearch. Initial simple search queries.

Options enabled by Elasticsearch

  • Indexing documents and data.
  • Searching documents and data.
  • Analyzing documents and data.
  • Calculating lists of responses.
  • Filtering and sorting results.
  • Query suggestions.
  • Highlighting results.
Hands-on work
Working with and modifying data indexing with Elasticsearch. Implementing queries, filtering, and sorting results.

Indexing, searching, and viewing data and documents

  • How do you find meaning in data with Elasticsearch and Kibana?
  • Data indexing improvement approach.
  • Search query improvement approach.
  • Geographical suitability of searches.
  • Percolation.
Hands-on work
Advanced data searches with Elasticsearch. Words with the same meaning.


Customer reviews
4,4 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.


Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class