Oracle Coherence Quickstart – Packt Publishing

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Oracle Coherence Quickstart

Build dynamic next-generation applications using the market leading in-memory datagrid

Build dynamic next-generation applications using the market leading in-memory datagrid

About This Video

Step-by-step, and easy to follow instructions to leverage Coherence and provide real-time updates to client applications

Detailed demonstrations with suggested best practices to build scalable websites and Enterprise applications using a tried and tested data grid product

Structured examples and projects, with hands-on exercises and guidance

In Detail

Oracle Coherence is an in-memory distributed data grid solution for clustered applications and application servers. It enables you to build more reliable and scalable data driven applications, by removing any single points of failure and database server access bottlenecks.

This course explores how you can build memory data grid applications with quick and easy steps in just a few minutes. These step-by-step videos will allow you to watch and learn just how simple it is to scale mission-critical applications and provide fast and reliable access to frequently used data.

This course covers everything that you’ll need to know to develop, manage, deploy, and monitor Coherence applications with ease.

Beginning with installation and application development in Eclipse, we’ll then go over topics such as cache functions for your servers, using Coherence facets, and monitoring applications with JMX. We’ll also discuss different cache topologies and what sets them apart. We’ll then wrap up with an overview of the Coherence API’s extensive features, as well as using the Coherence*Extend client.

Course Curriculum

Installing, Configuring, and Starting Oracle Coherence

• What’s in the Coherence Zip (3:22)
• Starting a Coherence Cluster (5:03)
• Accessing a Data Grid from the Coherence Console (4:52)
• Starting Coherence in Eclipse (3:09)
• Creating a Cache (9:54)
• JMX Monitoring (3:19)

Planning Your Caches

• Clustered Cache Topologies – Replicated Cache (5:01)
• Clustered Cache Topologies – Partitioned Cache (6:24)
• Clustered Cache Topologies – Near Cache (7:01)
• Backing Maps (7:57)
• Read-Through and Refresh-Ahead Caching (5:35)
• Write-Through and Write-Behind Caching (4:39)

Using the Coherence API

• Serialization and the Portable Object Format (4:13)
• Pre-Loading Cache (3:13)
• Querying the Grid – Filters, Indexes, and Aggregators (8:13)
• Entry Processors (3:50)
• Event Listeners (5:45)
• Map Triggers (2:17)
• Continuous Query Caching (2:19)

Coherence*Extend

• Coherence*Extend (7:47)