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Course Outline
Introduction
- Comparison of Hazelcast and Redis
- Overview of Hazelcast’s key features and architecture
- Understanding the concepts of distributed data structures
Getting Started
- Installation and configuration of Hazelcast
- Creating and initializing a cluster
Exploring Hazelcast Tools
- Implementing data caching strategies
- Setting up data ingestion workflows
- Executing distributed queries
Working with Data Streams
- Constructing data pipelines
- Transforming data streams effectively
- Aggregating stateful data
Testing Hazelcast Clusters
- Conducting integration tests
- Randomizing cluster names for testing purposes
- Cleaning up resources and testing source configurations
Managing Clusters
- Implementing security measures for the cluster
- Monitoring and maintaining cluster health
- Optimizing overall cluster performance
- Deploying applications in on-premise and cloud environments
Troubleshooting
Summary and Next Steps
Requirements
- A solid understanding of distributed systems
- Practical experience with in-memory database technologies
- Proficiency in Java programming
Audience
- Developers
- System administrators
14 Hours
