Elasticsearch and Kibana
4 days (32 hours)
Overview
This Elasticsearch training intends to provide a solid foundation in search and information retrieval. It starts with fundamental concepts and follows with internals, best practices, and key features. Each topic is followed by a hands-on lab. At the end of the training, the attendee will have a deep understanding of how Elasticsearch works, will be able to reliably analyze data, and will be ready to build search applications and present visualization using Kibana.
Prerequisites
- Basic knowledge of database concepts and data presentation tools
Audience
- Architects
- DBAs
- BI developers and analysts
- DBAs
Course Content
Day 1
- Module 1 - Introduction to the Elastic Stack
- Elasticsearch
- Kibana
- Logstash
- Beats
- Security
- Alerting
- Monitoring
- Module 2 - Introduction to Elasticsearch
- The Story of Elasticsearch
- Documents
- Indexes
- Indexing Data
- Searching Data
- Module 3 - The Search API
- Introduction to the Search API
- URI Searches
- Request Body Searches
- The match Query
- The match phrase Query
- The range Query
- The bool Query
- Source Filtering
Day 2
- Module 4 - Text Analysis
- What is Analysis?
- Building an Inverted Index
- Analyzers
- Custom Analyzers
- Character Filters
- Tokenizers
- Token Filters
- Defining Analyzers
- Synonyms
- How to Choose an Analyzer
- Segments
- Module 5 - More Search Features
- Filters
- Term Filters
- The match_phrase_prefix Query
- The multi_match_Query
- Fuzziness
- Highlighting
- More Like This
Day 3
- Module 6 - Working with Search Results
- The Anatomy of a Search
- Relevance
- Boosting Relevance
- DFS Query-then-fetch
- Sorting Results
- Doc Values and Fielddata
- Pagination
- Scroll Searches
- Choosing a Search Type
Day 4
- Module 7 - Aggregations
- What are Aggregations
- Types of Aggregations
- Buckets and Metrics
- Common Metrics Aggregations
- The range Aggregation
- The date_range Aggregation
- The terms Aggregation
- Nesting Buckets
- Module 8 - More Aggregations
- Global Aggregation
- The missing Aggregation
- Histograms
- Date Histograms
- Percentiles
- Top Hits
- Significant Terms
- Sorting Buckets
