GridGain In-Memory Computing Technical Presentations

Learn About GridGain® and Apache® Ignite

Presented by Lucas Beeler at GridGain Technical Webinar
This webinar will explain with examples how to:
Presented by Akmal B. Chaudhri at GridGain Technical Webinar, Presented by Rob Meyer at GridGain Technical Webinar
This 60-minute hands-on session will: Explain how GridGain Cloud works Walk through step-by-step how to create an account, start a cluster, load and query data using ANSI-99 SQL Demonstrate how to build applications that accesses data using a REST API, ODBC/JDBC or a binary thin client
Presented by Denis Magda at GridGain Technical Webinar
Learn how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example.
Presented by Ivan Rakov at GridGain Technical Webinar
When deployed properly, it's hard to beat a horizontal distributed architecture's scalability, availability and reliability. The trick is deploying it properly to compensate for individual node, data or network failures. Learn some of the best practices for setting up your clusters properly to maximize availability, reliability and flexibility for future needs.
Presented by Denis Magda at GridGain Technical Webinar
Once you've put in-memory computing in place to add speed and scale to your existing applications, the next step is to innovate and improve the customer experience. Join us for part 2 of the in-memory computing best practices series. Learn how companies build new HTAP applications with in-memory computing that leverage analytics within transactions to improve business outcomes.
Presented by Denis Magda at GridGain Technical Webinar, Presented by Rob Meyer at GridGain Technical Webinar
Join us for part 1 of the in-memory computing best practices series. Learn how companies are not only adding speed and scale without ripping out, rewriting or replacing their existing applications and databases, but also how they're setting themselves up for future projects to improve the customer experience. This webinar will explain with examples:
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