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Duration 14 hours
Course Outline
Introduction
- Comparing Hazelcast with Redis.
- Overview of Hazelcast's features and architecture.
- Comprehending distributed data structures.
Getting Started
- Installing and configuring Hazelcast.
- Creating and launching a cluster.
Exploring Hazelcast Tools
- Caching data efficiently.
- Implementing data ingestion processes.
- Executing distributed queries.
Working with Data Streams
- Constructing data pipelines.
- Transforming data streams.
- Aggregating stateful data.
Testing Hazelcast Clusters
- Running integration tests.
- Randomizing cluster names.
- Cleaning up and testing data sources.
Managing Clusters
- Securing the cluster environment.
- 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.
Target Audience
- Software Developers.
- System Administrators.
