Oracle Coherence Quickstart

Build dynamic next-generation applications using the market leading in-memory datagrid
3.9 (4 ratings) Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
70 students enrolled
$19
$85
78% off
Take This Course
  • Lectures 20
  • Length 1.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works

Discover

Find online courses made by experts from around the world.

Learn

Take your courses with you and learn anywhere, anytime.

Master

Learn and practice real-world skills and achieve your goals.

About This Course

Published 11/2014 English

Course Description

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.

About the Author

Ahmet Fuat Sungur is an experienced computer engineer with Global Maksimum Data and Information Technologies, a company that provides consultancy services on many Oracle products, particularly Cep, Coherence, Exadata, Exalogic, Big Data, stream processing, data warehousing, business intelligence solutions, and data mining.

He has six years of experience in working with Oracle products. Since 2008, he has been working in the telecommunication industry. In his professional career, data processing technologies are his favorite subjects. He participated in several data-oriented applications, which have been developed using Java and Oracle technologies. Software architecture, distributed processing, Big Data, and NoSQL databases are his other main interests. He is also the reviewer of Packt’s Getting Started with Oracle Event Processing 11g

What are the requirements?

  • This is a step-by-step guide to creating scalable memory data grid applications and perform cache operations using Oracle Coherence. It explains all you need to know through simple examples and projects, demonstrating what features are best used, and when; and also examines how to implement services that really matter when optimizing your cache servers.

What am I going to get from this course?

  • Install and set up Coherence
  • Create and examine cache servers in detail
  • Develop applications using the Coherence Facet for Eclipse
  • Cache server operations and monitor them via JMX
  • Cache topologies, backing map schemes, as well as operating underlying data storages
  • Use the Coherence API to perform different tasks against a cache, including serialization methods, map triggers, and many more
  • Get to grips with Coherence*Extend and learn how you can develop .NET and Java client applications that connect to a Java-based Coherence server

What is the target audience?

  • If you are an architect or developer who is responsible for the design and development of Internet or Enterprise applications, and want to learn how to develop distributed and scalable cache applications within a few minutes, then Oracle Coherence Quickstart is ideal for you. The course assumes a solid knowledge of Java and a familiarity with Domain Driven Design (DDD).

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Installing, Configuring, and Starting Oracle Coherence
03:22

There are many files in the zip archive; we'll cover what they are and how you'll find them useful.

Starting a Coherence Cluster
Preview
05:03
04:52

Quickly access the Coherence data grid without any IDE.

03:09

Configuring Coherence config files is not easy, unless you use Coherence Facelets in Eclipse.

Creating a Cache
09:54
03:19

There are several cache servers and thousands of operations in Coherence; with JMX, it can be easily monitored.

Section 2: Planning Your Caches
05:27

All cache servers need to access the same data; use replicated caches to reduce processing time.

06:24

A Partitioned Cache can hold much more data than a replicated cache in a clustered environment.

07:01

All cache servers can access the most frequently used data by using its local cache; they can also access least frequently used data by accessing the network.

07:57

Backing maps hold data not just in memory, but also in databases or files to hold cache data.

05:35

Refreshing data with the underlying data stage when there is a cache miss exception.

04:39

Implementing the write-through and write-behind mechanisms when you need to write Coherence objects into the underlying data stage.

Section 3: Using the Coherence API
04:13

There are different kinds of serialization methods; use POF to get increased performance.

03:13

Loading thousands of objects into the cache can be a slow process; we'll examine how you can speed it up.

08:13

We'll cover returning Coherence objects that match predefined criteria and also speeding up filtering operations, filters, and indexes.

03:50

While modifying thousands of objects, getting them into the client can be a real performance degrader; entry processor can be used to offset this by processing objects in the storage node instead of the client.

05:45

A cluster contains many cache servers, and each server should keep track of cache modifications: update, insert, and remove.

02:17

Map triggers are useful to perform some operations just before cache modifications.

02:19

ContinuousQueryCache is useful where it's necessary to use filtered data across many servers to keep them up-to-date. It does so by listening to all events and adds objects that match a set filter into the continuous query cache

Section 4: Coherence*Extend
07:47

Data in Coherence is available to cluster members, but sometimes there's a need to use objects outside your cluster.

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Packt Publishing, Tech Knowledge in Motion

Over the past ten years Packt Publishing has developed an extensive catalogue of over 2000 books, e-books and video courses aimed at keeping IT professionals ahead of the technology curve. From new takes on established technologies through to the latest guides on emerging platforms, topics and trends – Packt's focus has always been on giving our customers the working knowledge they need to get the job done. Our Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

Ready to start learning?
Take This Course