Administration and Development of Elasticsearch

Audience

Administrators or developers who want to know how to use Elasticsearch.

Architecture of Elasticsearch

• Lucene
• Plugins
• Configuration files
• CRUD
• Sorting and Relevance
• Topology and Clusters
• Distributed Document Store
• Full-Body Search
• Index Management
• Bulk Operations
• Sharding
• Lab

Installation

• Requirements
• Different ways of installing Elasticsearch
• Configuration Files
• Web interface
• Lab

Mappings

• CRUD and relationship to documents/indices
• Data Types
• Dynamic Field Mappings
• Index Templates
• Lab

Search Configuration

• Structured Search
• Full-Text Search
• Analyzers - Tokenizers and Filters
• Character Filters
• Testing Analyzers
• Built-In Analyzers
• Synonym Handling
• Multifield Search
• Proximity Matching
• Partial Matching
• Relevance Adjustment
• Lab

Queries and Filters

• Distributed Search Fundamentals
• Query DSL Deep Dive
• Query Advice and Best Practices
• Lab

Human Language Processing

• Language Configuration
• Chinese characters configuration (optional if needed)
• Tokenization
• Normalization
• Finding root of the words
• Stopwords
• Synonyms
• Misspellings and Typos
• Lab

Suggestions

• Terms, Phrase, Completion, and Context
• Suggestors
• Best Practices
• Lab

Aggregations

• Fundamentals
• Deep dive of each aggregation
• Lab

Document Modeling

• Nested Objects and Documents
• Impact of document structure on search
• Lab

Result Tuning

• Relationships
• Geolocation
• Aggregation
• Lab

Administration

• Monitoring
• Deployment
• Maintenance and basic optimization
• Lab

Advice and Best Practices

• Relevancy and Scoring
• Fundamentals
• Boost and Function Lab
• Percolator and Notifications
• Client Libraries and Testing
• Case Studies