Elasticsearch course

Course description:

This Elasticsearch course is intended for those who want to learn how to use technology Elasticsearch to store and to retrieve large amounts of data to be easily scaled. Whether you’re building a full-text search on the web for your customers to store, analyze and visualize large amounts of logs or clearly have access to all the data that are part of your business in one place for you designed just for this course. After its completion, you will understand the technology Elasticsearch and you will be able to use for your specific requirements.

The course is made up of several blocks, where each participant will understand the area and then try it immediately. At the same time for each circuit receives the material, which will make possible a given issue at any time to refresh.

Target audience:

• IT professionals who need to solve the problem of storing large amounts of data in which they want to easily search and visualize it

Prerequisites for this Elasticsearch course:

• Basic knowledge of database systems

Course module structure

Module 1: Why Elasticsearch?
– Introduction
– Basic work with Elasticsearch
– Familiarization with basic tools
– CRUD
– Indexation, bulk operations
– Lab
– Mapping

Module 2: Mapping
– Index, type, field
– Data types
– Dynamic properties
– Templates indices
– Lab

Module 3: Introduction to text analysis
– Unstructured data
– Simple search relevance
– Lab
– Text analysis

Module 4: Text analysis
– Introduction to text analysis
– Analyzers – Text token and filters
– Working with Czech and other languages
– Synonyms
– Lab

Module 5: Data search
– Distributed Search
– Queries, Filters
– Query DSL
– Searching in multiple fields
– Best practices
– Lab

Module 6: Aggregation
– Basics aggregations
– Calculations of data aggregation summary
– The most widely used aggregation in depth
– Best practices
– Lab

Module 7: Suggestions
– Replenishment words and phrases
– Context, phrase, term suggestors
– As to the “Did You namysli”?
– Best practices
– Lab

Module 8: Data modelling
– How to model relationships between objects
– Parent-child bond
– Subdocuments
– Best practices
– Lab

Module 9: Stored queries
– Percolator
– Warmer
– Lab

Note:

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

€ 1440

CATEGORY: Elastic Course
DURATION: 2 days
SKILL LEVEL: Associate
LECTURES: 9 lessons