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Course Outline
Introduction
- Hazelcast vs Redis
- Overview of Hazelcast Features and Architecture
- Understanding distributed data structures
Getting Started
- Installing and configure 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
- Randomizing cluster names
- Cleaning up and testing sources
Managing Clusters
- Securing a cluster
- Monitoring and maintaining a cluster
- Optimizing cluster performance
- Deploying applications on premise and cloud environments
Troubleshooting
Summary and Next Steps
Requirements
- An understanding of distributed systems
- Experience with in-memory database technologies
- Java programming experience
Audience
- Developers
- System administrators
14 Hours