Elastic Search Training
Introduction to Elastic Search
Understand the basics of Elastic Search, its architecture, and how it fits into the ELK stack (Elasticsearch, Logstash, and Kibana). Learn about its role in search and analytics.
Setting Up Elastic Search
Learn how to install and configure Elastic Search on various platforms. Understand cluster setup, node configuration, and initial indexing.
Data Indexing and Mapping
Explore how to index and map data in Elastic Search. Study the creation of indices, types, and mappings, and how to optimize data storage and retrieval.
Search and Querying
Discover how to perform searches and queries in Elastic Search. Learn about different query types, including full-text search, structured search, and complex queries.
Aggregation and Analytics
Study aggregation features in Elastic Search for data analysis. Learn how to perform statistical, histogram, and bucket aggregations to extract insights from your data.
Performance Tuning
Learn techniques for optimizing Elastic Search performance. Understand indexing strategies, query optimization, and resource management for efficient search operations.
Integration with Other Tools
Explore how Elastic Search integrates with other tools and platforms. Learn about Logstash for data ingestion, Kibana for visualization, and various APIs for custom integrations.
Security and Access Control
Understand security features in Elastic Search. Learn about user authentication, role-based access control, and securing data in transit and at rest.
Monitoring and Maintenance
Discover best practices for monitoring and maintaining Elastic Search clusters. Learn how to use monitoring tools, manage cluster health, and handle backups and recovery.
Case Studies and Practical Applications
Engage with case studies and practical exercises to apply Elastic Search concepts. Work on real-world scenarios to build and manage search solutions effectively.
Advanced Features and Customization
Explore advanced features and customization options in Elastic Search. Learn about plugins, custom analyzers, and scripting to extend the functionality of your search engine.
Elasticsearch Syllabus
1. Introduction to Elasticsearch
- What is Elasticsearch?
- Use Cases and Benefits
- Core Concepts
- Index, Document, Type
- Node, Cluster, Shard, Replica
- Document CRUD Operations
2. Querying Elasticsearch
- Basic Search Queries
- Full-Text Search
- Filtering, Aggregations, Sorting
- Query DSL (Domain-Specific Language)
3. Mapping and Analysis
- Mapping Types
- Analysis and Analyzers
- Mapping Customization
4. Scaling Elasticsearch
- Horizontal Scaling
- Cluster Setup and Configuration
- Sharding and Replication Strategies
5. Advanced Search Features
- Geo-Spatial Search
- Highlighting
- Fuzzy Queries, Wildcard Queries
6. Elasticsearch APIs
- RESTful API Basics
- CRUD Operations Using APIs
- Bulk API
7. Elasticsearch Security
- Authentication and Authorization
- User Roles and Permissions
8. Monitoring and Administration
- Cluster Health Monitoring
- Performance Tuning
- Backup and Restore Strategies
9. Integration with Other Systems
- Logstash and Beats for Data Ingestion
- Kibana for Visualization and Monitoring
10. Elasticsearch in Production
- Best Practices
- Troubleshooting Common Issues
11. Advanced Querying
- Query Performance Optimization
- Complex Nested Queries
- Scripted Queries and Filters
- Function Score Query for Custom Relevance Scoring
12. Aggregations
- Metrics Aggregations (sum, min, max, avg)
- Bucket Aggregations (terms, date histograms, ranges)
- Pipeline Aggregations for Advanced Metrics
13. Mapping and Analysis
- Custom Analyzers and Tokenizers
- Multi-Fields and Dynamic Templates
- Index-Time and Search-Time Boosting
14. Index Management
- Index Settings and Mappings Management
- Index Aliases and Index Templates
- Index Lifecycle Management (ILM)
15. Data Modeling
- Parent-Child Relationships
- Join Datatype for Denormalization
- Handling Hierarchical Data
16. Scalability and Resilience
- Cross-Cluster Search
- Shard Allocation Awareness
- Circuit Breakers and Thread Pools
17. Security
- SSL/TLS Configuration
- Role-Based Access Control (RBAC)
- Audit Logging and Compliance Features
18. Monitoring and Performance Tuning
- Performance Metrics and Monitoring APIs
- Hot-Warm-Cold Architecture
- JVM Tuning and Heap Management
19. Data Ingestion
- Using Logstash for Complex Data Pipelines
- Beats for Lightweight Data Shippers
- Ingest Node for Elasticsearch Data Transformation
20. Advanced Scripting
- Inline and Stored Scripts
- Scripting Languages
- Security Considerations and Limitations
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details