GridGain In-Memory Computing Technical Presentations

Technical Presentations About GridGain and Apache Ignite

These technical presentations, developed and presented by GridGain in-memory computing experts, will help you understand, configure, and deploy the GridGain® and Apache Ignite® in-memory computing solutions. The presentations cover topics including in-memory computing, in-memory databases, stream processing, digital integration hubs, data lake acceleration, machine learning, deep learning, and how to apply these technologies and others to power digital transformation.

During this webinar, GridGain Solution Architects share answers to the most common questions asked prior to deployment. They also provide guidance that will save you time and make deploying GridGain or Apache Ignite a more enjoyable experience.
During this webinar, Matt Sarrel, Director of Technical Marketing at GridGain Systems, will discuss how in-memory computing using Apache Ignite and GridGain can provide unrivaled speed and scale in the following use cases:
At the end of this webinar, you will have a better understanding of how in-memory computing can help traditional retail banking become real-time digital banking.
During this webinar, we will demonstrate how the Apache Ignite Web Console enables the automatic integration of Apache Ignite and your RDBMS.
This webinar will help you understand how in-memory computing can help your organization develop high performance and highly scalable software and SaaS projects.
In this webinar, GridGain Systems Product Manager Denis Magda will introduce the SQL Grid component of Apache Ignite. With the SQL Grid, you can get the performance and scalability of data grids along with the traditional ANSI-99 SQL support of relational databases.
This webinar will give you a better understanding of how in-memory computing forms the backbone of successful high performance, highly scalable and mission-critical technology solutions in the fintech industry. You will also learn how in-memory computing helps address many current limitations of legacy financial systems.