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

{networkName} doorzoeken

Groepen

{PRO_NETWORK_NAME} is op Meetup Pro met meer dan {PRO_MEMBER_COUNT} leden in {PRO_GROUP_COUNT} wereldwijde Meetups. Meetup Pro is de professionele tool voor de organisatie van en communicatie met een netwerk van gebruikers, partners, bijdragers en leden.

GridGain Meetup Team

IMC Meetups

IMC Meetups

Wie we zijn

IMC Meetups doorzoeken

Aankomende evenementen

Groepen