Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1 Course Overview

Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1 Course Overview

The Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1 course is an extensive program designed to educate learners on how to effectively use Oracle Coherence, a leading in-memory data grid solution, to manage and share data across clusters. This course covers a range of topics from fundamental performance concepts and caching mechanisms to scalability strategies, offering a deep dive into the world of distributed computing and clustering with Oracle Coherence.

Through a combination of theoretical knowledge and practical exercises, participants will learn how to install Coherence, configure and work with caches, and develop applications to leverage its powerful data grid capabilities. The course also explores object management, data grid events, querying, aggregation, in-place data processing, and coherence security, providing a comprehensive understanding of various cache topologies and data grid design patterns.

By mastering these skills, learners will be able to build robust, scalable, and high-performing applications, making them valuable assets in environments where large-scale data management and processing are critical. The knowledge gained from this course will enable IT professionals to contribute to improved system performance and reliability in their organizations.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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Course Prerequisites

To ensure that you can successfully undertake the Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1 course, the following are the minimum required prerequisites:


  • Basic understanding of Java programming and familiarity with Java SE concepts and syntax.
  • Knowledge of distributed computing concepts would be beneficial.
  • Familiarity with database fundamentals and SQL is helpful.
  • Some experience with Java EE and web service technologies can aid in grasping advanced topics.
  • Understanding of network protocols, such as TCP/IP, and basic networking concepts.
  • Prior exposure to Oracle WebLogic Server or any middleware platform can be advantageous for Module 11.

These prerequisites are intended to provide you with a foundational understanding that will help you grasp the course content more effectively. Even if you're not familiar with all of these areas, a willingness to learn and a commitment to engage with the course materials can also lead to a successful training experience.


Target Audience for Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1

Oracle Coherence 12c training is designed for IT professionals seeking to manage data across clusters efficiently.


  • Software Developers and Engineers
  • Java Developers
  • System Architects
  • Data Scientists
  • Database Administrators
  • IT Project Managers
  • Middleware Administrators
  • Performance Engineers
  • Solutions Architects
  • Technical Consultants
  • DevOps Engineers
  • Backend Developers
  • Cloud Infrastructure Engineers


Learning Objectives - What you will Learn in this Oracle Coherence 12c: Share and Manage Data in Clusters Ed 1.1?

Introduction to Course Learning Outcomes

The Oracle Coherence 12c course equips students with the skills to manage data within Coherence clusters, ensuring scalable and high-performance applications.

Learning Objectives and Outcomes

  • Understand Performance, Caching, and Scalability: Grasp fundamental concepts that drive performance improvements using Oracle Coherence.
  • Install and Configure Oracle Coherence: Learn to install Coherence and set up a simple cluster for data management.
  • Develop Coherence Applications: Acquire the ability to create applications that leverage Coherence's data grid for improved performance.
  • Work with Coherence Caches: Gain knowledge on different cache configurations and topologies to choose the right cache strategy.
  • Utilize Coherence Events and Live Events: Understand and implement Coherence’s event model to respond to data grid changes.
  • Query and Aggregate Data Efficiently: Develop skills to use Coherence Filters, Coherence Query Language, and optimize queries for performance.
  • Use Entry Processors for Data Processing: Learn to manage concurrent data access and perform in-place data processing with entry processors.
  • Integrate Coherence with Databases and Services: Understand how to persist data and integrate Coherence with external services like JPA and GoldenGate.
  • Design Effective Caching Architectures: Explore various caching patterns and architectures to determine the most suitable for specific use cases.
  • Secure Coherence Deployments: Implement security measures within Coherence clusters and Coherence*Extend environments.