Pre-conference Developer TrainingFree • 13 June

Though the pre-conference training sessions have ended, GridGain periodically offers complimentary, live Apache Ignite training classes.

Please click on the links below to join us at a future training sessions:

Apache Ignite Essentials: Key Design Principles for Building Data-Intensive Applications
Apache Ignite Compute Grid: How to execute high performance, distributed tasks
Apache Ignite for Spring Boot and Spring Data Development

Apache Ignite Essentials: Key Design Principles for Building Data-Intensive Applications

13 June, 9:00 am PDT

This two-hour training is for Java developers and architects who build high-performance and data-intensive applications that are powered by Apache Ignite. During the course, you are introduced to three of Ignite's essential capabilities (data partitioning, affinity co-location, and co-located processing) and learn how to apply your newly acquired knowledge to increase the speed and scale of your applications.

Training Topics:

The essential capabilities of Apache Ignite
How to use data partitioning to achieve limitless horizontal scalability
How affinity co-location of data makes it possible to run high-performance, distributed queries at scale
How to run custom compute tasks straight on the cluster nodes, to negate any negative impact that a network might have on the performance of your applications.

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13 June - 8:00 am, PT

Stephen Darlington

Senior Consultant at GridGain

Apache Ignite Compute Grid: How to execute high performance, distributed tasks

13 June, 11:00 am PDT

This free, two-hour training is for Java developers and architects who want to learn how to utilize the capabilities of Apache Ignite for high performance, scalable computation. The Compute engine is one of the essential features of Ignite/GridGain that enables different approaches to running compute workloads and processing data. In this training course we will cover the topics of parallel and distributed computing and show the various ways to run tasks over distributed data as well as discussing techniques for delivering high performance at scale.

Training Topics:

A quick reminder of the Ignite basics: clustering, data distribution, affinity
Introduction to the Compute engine: what can it be used for and how
Fault tolerance and load balancing
Multiple techniques of running tasks and simple closures
Colocating tasks or computations with distributed data for reducing data transfer and/or execution time
Designing map/reduce tasks, with examples
Compute patterns for job assignment, continuous mapper, continuations etc.

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13 June - 11:00 am, PT

Anton Kurbanov

Senior Software Engineer at GridGain

Apache Ignite for Spring Boot and Spring Data Development

13 June, 1:00 pm PDT

Training Topics:

Configuring an Apache Ignite cluster that uses Spring Boot and Spring Data
Designing Java POJOs for Ignite Spring Data repositories
Defining custom SQL queries for Ignite Spring Data repositories
Designing DTOs (data transfer objects) for Ignite Spring Data services
Building a Spring Boot RESTful endpoint that works with Ignite Spring Data services
Learning tips and tricks while working with Ignite Spring Data and Ignite Spring Boot

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Rohit Dharampal

Senior Consultant at GridGain