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Course Outline
Introduction
- Hazelcast vs 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.
- Randomizing cluster names.
- Cleaning up and testing sources.
Managing Clusters
- Securing a cluster.
- Monitoring and maintaining a cluster.
- Optimizing cluster performance.
- Deploying applications in on-premise and cloud environments.
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with distributed systems.
- Experience with in-memory database technologies.
- Proficiency in Java programming.
Audience
- Developers.
- System administrators.
14 Hours
