Elasticsearch and OpenSearch for Developers Complete

• Introduction to Elasticsearch and OpenSearch
  
  • Overview of Elasticsearch and OpenSearch
  • Key features and use cases
  • Understanding the architecture
  
  
• Installation and Setup
  
  • Installing Elasticsearch/OpenSearch on different platforms
  • Configuring and optimizing the cluster
  • Basic cluster management
  
  
• Indexing and Searching Data
  
  • Indexing data into Elasticsearch/OpenSearch
  • Mapping and data types
  • Querying and searching data
  • Full-text search and relevance scoring
  
  
• Advanced Search Features
  
  • Filtering and aggregations
  • Highlighting and snippets
  • Fuzzy and proximity search
  
  
• Distributed Searching and Scalability
  
  • Sharding and replication
  • Cluster coordination and node discovery
  • Handling large-scale data
  • Monitoring and performance tuning
  
  
• Data Modeling and Analysis
  
  • Understanding document modeling
  • Nested and parent-child relationships
  • Working with time-series data
  • Introduction to Elasticsearch/OpenSearch SQL and Machine Learning
  
  
• Advanced Features and Integrations
  
  • Working with geo-spatial data
  • Handling structured and unstructured data
  • Integrating with other systems (e.g., databases, messaging queues)
  • Securing Elasticsearch/OpenSearch
  
  
• Real-time Analytics and Monitoring
  
  • Using the Elasticsearch/OpenSearch APIs for real-time analytics
  • Creating dashboards and reports
  • Alerts and notifications
  
  
• Query DSL
  
  • Introduction to Query DSL (Domain-Specific Language)
  • Querying with match, term, range, bool, and other query types
  • Combining queries with must, must_not, should clauses
  • Boosting and relevance tuning
  • Understanding query performance and optimization techniques
  
  
• Kibana and Visualization
  
  • Introduction to Kibana as a data visualization tool
  • Creating visualizations and dashboards
  • Exploring and analyzing data with Kibana Discover
  • Using Kibana Visual Builder for time series analysis
  • Customizing and sharing visualizations
  
  
• Logstash
  
  • Introduction to Logstash for data ingestion and processing
  • Configuring Logstash pipelines
  • Input, filter, and output plugins
  • Transforming and enriching data with Logstash filters
  • Integration with Elasticsearch/OpenSearch
  
  
• Beats
  
  • Overview of Beats as lightweight data shippers
  • Installing and configuring Beats (e.g., Filebeat, Metricbeat)
  • Collecting and shipping different types of data (logs, metrics, network data)
  • Setting up centralized monitoring and management of Beats
  • Extending and customizing Beats
  
  
• Asynchronous Operations and Bulk Processing
  
  • Understanding asynchronous operations in Elasticsearch/OpenSearch
  • Bulk API for efficient indexing and updates
  • Managing concurrent requests and optimizing performance
  • Handling failures and retrying operations
  • Bulk processing and pipeline configurations
  
  
• Security and Access Control
  
  • Securing Elasticsearch/OpenSearch clusters
  • Authentication and authorization mechanisms
  • Configuring roles, users, and permissions
  • Encryption and SSL/TLS setup
  
  
• Best Practices and Troubleshooting
  
  • Indexing and querying best practices
  • Performance optimization tips
  • Handling failures and troubleshooting common issues
  • Upgrading and scaling Elasticsearch/OpenSearch
  
  

he seminar on Elasticsearch and OpenSearch for developers is suitable for:

• Software Developers, Data Engineers, System Architects, Technical Leads and Team Leads, Data Scientists and Analysts, IT Professionals