Events and Webinars

Upcoming

Training Session
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Ignite Training: Spring Boot and Spring Data Development
Jul 16, 2026 10:00am GMT
Training Session
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Ignite Training: Spring Boot and Spring Data Development
Jul 16, 2026 10:00am PT

Ondemand

Content type
Webinar
Learn How Digital Integration Hubs Power Digital Transformations on the IBM Z Platform
By the end of this webinar you will understand the potential of Digital Integration Hubs on the Z Platform to power digital transformations using data from transactional, data lake, and other data sources. You will also understand the role of in-memory data grids within Digital Integration Hubs and some ways in which companies have deployed these solutions to increase customer visibility, drive revenues, and reduce costs.
Webinar
How to Scale Up Your Applications if COVID-19 is Causing a Dramatic Spike for Your Business
If your company is in an industry such as ecommerce, logistics, online learning, food delivery, or online business collaboration, you may be seeing a huge spike in your business which is straining
Webinar
Learn Apache Ignite Through Coding Examples
By the end of this webinar, you will have gained broad, practical experience with Apache Ignite which can help you avoid unexpected challenges during development and production deployments.
Webinar
Getting Started with Apache Ignite SQL
This webinar will include several use cases, code samples and a discussion of new capabilities to be enabled by an Apache Calcite-based engine.
Webinar
Using Data Center Replication to Ensure High Availability of Apache Ignite and GridGain Clusters
By the end of this webinar, developers will understand how to configure and manage the GridGain Data Center Replication feature.
Webinar
Moving Apache Ignite into Production: Best Practices for Distributed Transactions
Our presenter, Ivan Rakov, is an Apache Ignite Committer and GridGain Lead Architect who is involved in the development of the Ignite transactional feature. He will provide his insights on how to use Ignite transactions and prepare transactional workloads for production depending on specific use cases.