This **free** two-hour training is for Java developers and architects who build high-performance and data-intensive applications that are powered by Apache Ignite 3.0. 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.

**[REGISTER](https://www.gridgain.com/training/register/apache-ignite-30-essentials-design-principles-building-data-intensive-0)**

**Training Topics:**

* The essential capabilities of Apache Ignite 3.0
* 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.

**Required Preparation:**

* Java Developer Kit, version 11, 17 or 21
* Docker
* Apache Maven 3.0 or later
* Your favorite IDE, such as IntelliJ IDEA or Eclipse, or a simple text editor

**[REGISTER](https://www.gridgain.com/training/register/apache-ignite-30-essentials-design-principles-building-data-intensive-0)**

NYC In-Memory Computing Meetup

Genia

Irina Astrovskaya

will yip

nyczman

Developer Training Session - Apache Ignite 3.0 Essentials 

Online event

This **free** 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.

**[REGISTER](https://www.gridgain.com/training/register/apache-ignite-30-essentials-design-principles-building-data-intensive-0)**

### 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.

### Required Preparation:

* Java Developer Kit, version 11, 17 or 21
* Docker
* Apache Maven 3.0 or later
* Your favorite IDE, such as IntelliJ IDEA or Eclipse, or a simple text editor

**[REGISTER](https://www.gridgain.com/training/register/apache-ignite-30-essentials-design-principles-building-data-intensive-0)**

Bay Area In-Memory Computing Meetup

Xinmin Wang

Muthu Kumaran Lekshmanan

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

IMC Meetups

Buscar {networkName}

Grupos

{PRO_NETWORK_NAME} está en Meetup Pro y tiene más de {PRO_MEMBER_COUNT} miembros en {PRO_GROUP_COUNT} grupos de Meetup en todo el mundo. Meetup Pro es la herramienta profesional para organizar redes de usuarios, socios, colaboradores y miembro, y comunicarse con ellos.

GridGain Meetup Team

IMC Meetups

IMC Meetups

Quiénes somos

Buscar IMC Meetups

Eventos previstos

Grupos