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 Duration 14 hours

Course Outline

Introduction

  • Comparison of Hazelcast and Redis
  • Overview of Hazelcast's features and architectural design
  • Understanding the concept of distributed data structures

Initial Setup

  • Installation and configuration of Hazelcast
  • Building and launching a cluster

Utilizing Hazelcast Tools

  • Strategies for data caching
  • Methods for implementing data ingestion
  • Execution of distributed queries

Data Stream Operations

  • Construction of data pipelines
  • Transformation of data streams
  • Aggregation of stateful data

Cluster Testing Procedures

  • Execution of integration tests
  • Randomization of cluster naming
  • Cleanup and testing of data sources

Cluster Administration

  • Implementing security measures for clusters
  • Monitoring and ongoing maintenance of clusters
  • Optimization of cluster performance
  • Deployment of applications in on-premise and cloud environments

Troubleshooting

Summary and Future Directions

Requirements

  • Familiarity with distributed systems concepts
  • Practical experience with in-memory database technologies
  • Proficiency in Java programming

Target Audience

  • Software Developers
  • System Administrators

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