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Duration 14 hours
Course Outline
Introduction
- Comparison of Hazelcast and Redis
- Overview of Hazelcast's features and architectural design
- Understanding the concept of distributed data structures
Initial Setup
- Installation and configuration of Hazelcast
- Building and launching a cluster
Utilizing Hazelcast Tools
- Strategies for data caching
- Methods for implementing data ingestion
- Execution of distributed queries
Data Stream Operations
- Construction of data pipelines
- Transformation of data streams
- Aggregation of stateful data
Cluster Testing Procedures
- Execution of integration tests
- Randomization of cluster naming
- Cleanup and testing of data sources
Cluster Administration
- Implementing security measures for clusters
- Monitoring and ongoing maintenance of clusters
- Optimization of cluster performance
- Deployment of applications in on-premise and cloud environments
Troubleshooting
Summary and Future Directions
Requirements
- Familiarity with distributed systems concepts
- Practical experience with in-memory database technologies
- Proficiency in Java programming
Target Audience
- Software Developers
- System Administrators