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Course Outline
Introduction
- Hazelcast versus Redis
- Overview of Hazelcast features and architecture
- Understanding distributed data structures
Getting Started
- Installing and configuring Hazelcast
- Creating and starting a cluster
Exploring Hazelcast Tools
- Caching data
- Implementing data ingestion
- Running distributed queries
Working with Data Streams
- Building data pipelines
- Transforming data streams
- Aggregating stateful data
Testing Hazelcast Clusters
- Running integration tests
- Randomising cluster names
- Cleaning up and testing sources
Managing Clusters
- Securing a cluster
- Monitoring and maintaining a cluster
- Optimising cluster performance
- Deploying applications in on-premises and cloud environments
Troubleshooting
Summary and Next Steps
Requirements
- A solid understanding of distributed systems
- Experience with in-memory database technologies
- Proficiency in Java programming
Audience
- Developers
- System administrators
14 Hours
