Presented by
Jeremy McMillan, Senior Consultant, GridGain
Apache Ignite: Design Principles for Building Data-Intensive Applications #5
About this talk
Join GridGain's Senior Consultant Jeremy McMillan for a two hour Apache Ignite training designed for Java developers and architects who build high-performance and data-intensive applications 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
Required Preparation:
-Java Developer Kit 8.0 later
-Apache Maven 3.0 or later
-Your favorite IDE, such as IntelliJ IDEA or Eclipse, or a simple text editor
Earn a GridGain Developer Essentials Badge: By successfully completing the training session, you will earn a digital badge issued by Credly to validate the Ignite knowledge you have acquired.
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GridGain is a unified real-time data platform that enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem.
GridGain’s distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on-premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments.
GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs.
To learn more, please visit www.gridgain.com.