Course Outline

Architecture of Elasticsearch for Government

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

Installation of Elasticsearch for Government

  • Requirements
  • Different Ways of Installing Elasticsearch
  • Configuration Files
  • Web Interface
  • Lab

Mappings in Elasticsearch for Government

  • CRUD Operations and Relationship to Documents/Indices
  • Data Types
  • Dynamic Field Mappings
  • Index Templates
  • Lab

Search Configuration for Government

  • 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 for Government

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

Human Language Processing for Government

  • Language Configuration
  • Chinese Characters Configuration (Optional if Needed)
  • Tokenization
  • Normalization
  • Finding Root of Words
  • Stopwords
  • Synonyms
  • Misspellings and Typos
  • Lab

Suggestions for Government

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

Aggregations for Government

  • Fundamentals
  • Deep Dive of Each Aggregation
  • Lab

Document Modeling for Government

  • Nested Objects and Documents
  • Impact of Document Structure on Search
  • Lab

Result Tuning for Government

  • Relationships
  • Geolocation
  • Aggregation
  • Lab

Administration of Elasticsearch for Government

  • Monitoring
  • Deployment
  • Maintenance and Basic Optimization
  • Lab

Advice and Best Practices for Government

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

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