GridGain In-Memory Computing Technical Presentations

Learn About GridGain® and Apache® Ignite

Presented by Matt Aslett at GridGain Technical Webinar, Presented by Rob Meyer at GridGain Technical Webinar
Learn more about the role of In-Memory Computing in supporting the real-time transactional, analytical and engagement needs for digital business and improving the customer experience.
Presented by Denis Magda at GridGain Technical Webinar
Learn some of the current best practices in HTAP, and the differences between two of the more common technologies companies use: Apache® Cassandra™ and Apache® Ignite™.
Presented by Denis Magda at GridGain Systems Technical Webinar
By the end of the webinar, you will understand the most common in-memory computing options and how to choose the right in-memory technology based on your project needs.
Presented by Yury Babak at Data Science Weekend Moscow
How we accelerated the Machine Learning in Apache Ignite.
Presented by Denis Magda at GridGain Systems Technical Webinar
Learn why companies are choosing Apache Ignite and the enterprise-ready version of Apache Ignite from GridGain® to handle their in-memory computing needs, and moving away from traditional caches like Redis.
Presented by Valentin Kulichenko at GridGain Systems Technical Webinar
Learn how to get Apache Ignite native persistence up and running, and tips and tricks to get the best performance.
Presented by Akmal B. Chaudhri at GridGain Systems Technical Webinar
Apache Ignite is (an in-memory computing platform OR an in-memory distributed data store and compute grid) with full-fledged SQL, key-value and processing APIs. Many companies have added it as a cache in-between existing SQL databases and their applications to speed up response times and scale. In other projects they've used it as its own SQL database. 
Presented by Akmal B. Chaudhri at GridGain In-Memory Webinar
Presented by Dmitriy Setrakyan at GridGain Systems Technical Webinar
Presented by Denis Magda at GridGain Systems Technical Webinar
Presented by Denis Magda at GridGain Technical Webinar
Presented by Fotios Filacouris at GridGain Webinar
Join Fotios Filacouris, GridGain Solution Architect, as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:
Presented by Akmal B. Chaudhri at GridGain Webinar
Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains.
If you are trusting a single datacenter to support your newest mission critical or cutting edge in-memory computing application, you may want to reconsider your strategy. No datacenter is 100% secure against natural disasters, hackers or just plain old human error.  In order to maintain all the 9s of availability that you have promised, you need to hedge your bets on an acti
Presented by Dani Traphagen at GridGain Technical Webinar
In this webinar, GridGain System’s Solution Architect Dani Traphagen will walk through the basics of a Kubernetes and Apache Ignite deployment, including: