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Duration 14 hours
Course Outline
Introduction
- Comparative Analysis of Hazelcast and Redis
- Architectural Overview and Core Capabilities of Hazelcast
- Conceptual Framework of Distributed Data Structures
Initial Setup
- Hazelcast Installation and Configuration Procedures
- Cluster Formation and Initialization
Hazelcast Utility Exploration
- Data Caching Strategies
- Data Ingestion Implementation
- Distributed Query Execution
Data Stream Management
- Construction of Data Pipelines
- Transformation of Streaming Data
- Stateful Data Aggregation
Cluster Testing Protocols
- Execution of Integration Tests
- Cluster Name Randomization
- Source Cleanup and Verification
Cluster Administration
- Cluster Security Hardening
- Monitoring and Maintenance Operations
- Performance Optimization Techniques
- Deployment Across On-Premise and Cloud Infrastructures
Troubleshooting Procedures
Summary and Recommended Next Steps
Requirements
- Foundational knowledge of distributed system architectures
- Practical experience with in-memory database technologies
- Proficiency in Java programming
Intended Audience
- Software Developers
- System Administrators
