Asset Data will host the JUG event of October: "Distributed computing using Scala and GridGain". The event will be in English language. Below the abstract:
The topic of this presentation is about using Scala programming language with GridGain framework to provide a simple and productive cloud computing platform.
Scala is a hybrid function and object-oriented language that is rapidly gaining traction in becoming the next Java in JVM-based language evolution. GridGain is one of the most rapidly growing cloud development platforms for JVM-based languages.
2/3 of the presentation will be devoted to live coding demonstration of writing basic MapReduce application in Scala using GridGain middleware. All coding during demonstration will be done live. Overview of grid and cloud computing concepts as well as notion of Native Cloud Applications will be discussed. Short intro into Scala language will also be provided.
What problems/challenges will an attendee learn to solve by attending your session?
Attendee will learn how to use Scala one of the most exciting JVM-based languages to quickly and efficiently build cloud-enabled applications. They will also learn on how to quickly build simple MapReduce application using GridGain framework.
What will attendees learn by attending your session?
Attendees will learn:
Who should attend your session?
- Java developers with a proficient level of Java expertise
- Scala developers of all levels
- Developers interested in practical aspects of cloud computing
What basics should attendees know before attending your session?
- Working knowledge of Java
- Basic understanding of distributed programming concepts
- No Scala or cloud computing experience is required
- About 1/3 of the presentation will be devoted to overview of grid and cloud computing as well as crash-course into Scala programming language. 2/3 of the presentation will be devoted to a live, hands-on coding demonstration of building simple MapReduce applications in Scala using GridGain.
Speaker: Nikita Ivanov
CEO, GridGain Systems