Description
Elasticsearch is a distributed search and analysis engine built on Apache Lucene.
It is a text search engine and analysis tool developed in Java programming language.
It also has the capacity to provide businesses with the specific data they need. It has managed to become popular in a short time with its many skills such as its flexible working structure and its ability to process data in real time in all distributed systems.
It is a popular text search engine used by all small and large-scale businesses in the business world.
Since its launch in 2010, it has quickly become the most popular search engine and is widely used for log analytics, full text search, security intelligence, business analytics and operational intelligence use cases.
This course aims to provide a solid foundation in search and information gathering. Starting with basic concepts, the course covers best practices, key features and distributed search application development with Elasticsearch.
By the end of the course, you will have a detailed understanding of how Elasticsearch works, be able to reliably analyze, understand and solve common problems, and be ready to develop cutting-edge search applications.
About Training
- What is Elasticsearch
- Basic Installations (docker-compose)
- Transactions with Elasticsearch
- Elastic Stack Common Terms and Things to Know
1. Cat and Cluster API
2. Adding Node
3. File Structure
4. Operations with Index and Document
5. Mapping (Schema) Creation
6. Replication Group, Read and Write Operations
7. Optimistic Concurrency Control
8. Using Bulk Api
9. Using the curl Command
10. Inverted Index
11. Text Analyze-1
12. Text Analyze-2
13. Search Operations Login
14. DSL Query
15. Match Query, Term Query and Analyzing Search Results
16. Pagination
17. Sorting
18. ID Filtering, Wildcard and Prefix Usage
19. Fuzzy Query
20. Aggregations (Avg,Min,Max)
21. Aggregations (Sum)
22. Aggregations (Stats)
23. Aggregations (Question)
24. Elasticsearch SQL-1
25. Elasticsearch SQL-2
- Operations with Kibana
1. Kibana Theoretical
2. Operations with Sample Flight Data – 1
3. Operations with Sample Flight Data – 2
4. Operations with Shakespeare Data Set-1
5. Transactions with Shakespeare Data Set-2
Who Should Receive the Training?
Developers who want to develop real-time search solutions and analytical solutions can participate.
Plan this training for your business!
This training can be planned in different durations and content specific to your organization. Please contact us for detailed rich content and planning to realize your training objectives.
