Webinars on In-Memory Computing

GridGain® webinars present information on a variety of in-memory computing topics, and are often co-hosted with other in-memory computing customers or thought leaders. Topics include in-depth analyses and recommendations for common issues faced by in-memory computing developers, enterprise architects, CIO/CTOs, and other enterprise decision-makers. Different approaches for implementing solutions are reviewed, including solutions using the GridGain in-memory computing platform and Apache® Ignite. The webinars cover enterprise use cases such as high-frequency trading, omnichannel customer engagement, the Internet of Things (IoT), financial services, application performance and scaling, fast data, and more.

All GridGain webinars are archived and available for free online.

Live Webinar
Glenn Wiebe
In this webinar, Glenn Wiebe, GridGain Solution Architect, will introduce developers to Apache Ignite as an in-memory database (IMDB). He will review how an IMDB differs from a cache or an in-memory data grid (IMDG). He will discuss the key characteristics of an IMDB and also highlight core Ignite features and facilities.
Live Webinar
Ken Cottrell
Many machine learning (ML) and deep learning (DL) platforms are slow in production environments. It can sometimes take hours or days to update ML models. This is a result of having the ML processing run on a different system from the operational transactions system in order to avoid a performance degradation.
Live Webinar
  • Branimir Angelov
Branimir Angelov
Join us for a special webinar presented by Branimir Angelov, Co-Founder and CTO of Kubo, Software Architecture Consultant in Obecto, and Member of the Comrade Cooperative.
On Demand Webinar
Denis Magda
Join Denis Magda, Apache Ignite veteran and GridGain Head of Developer Relations, as he demonstrates various Apache Ignite capabilities you might have heard of or read about. Topics covered will include clustering, compute and SQL capabilities, data loading and streaming.
On Demand Webinar
Greg Stachnick
Managing distributed systems can be complex and time consuming because there are numerous moving parts. Having a consistent set of tools can give a clear picture of how clusters are performing, when to take action and avoid potential problems, and how to optimize configurations.
On Demand Webinar
Mythili K. Venkatakrishnan & Nikita Ivanov
Mythili Venkatakrishnan, IBM Distinguished Engineer, will discuss increasing market pressures in key industries such as banking which are leading Z platform users to leverage Digital Integration Hubs for flexible information flow between core transactional systems and hybrid cloud environments.
On Demand Webinar
Ivan Rakov
The Apache Ignite transactional engine can execute distributed ACID transactions which span multiple nodes, data partitions, and caches/tables. This key-value API differs slightly from traditional SQL-based transactions but its reliability and flexibility lets you achieve an optimal balance between consistency and performance at scale by following several guidelines.
On Demand Webinar
Denis Magda & Igor Seliverstov
Apache Ignite’s ANSI-99 SQL support provides application developers a classical SQL database experience while enabling in-memory speeds at petabyte scale for a variety of workloads. Concise SQL syntax and availability of JDBC and ODBC drivers shields the complexity of Ignite’s distributed architecture from developers and allows them to easily manage and query distributed…
On Demand Webinar
Konstantin Orlov
When working with multiple data centers, it is important to ensure high availability of your GridGain cluster. The GridGain Enterprise and Ultimate Editions, built on Apache Ignite®, include a Data Center Replication feature that allows data transfer between caches in distinct topologies, even located in different geographic locations.
On Demand Webinar
Nikita Ivanov
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 the limits of your customer-facing or internal applications. If you need to speed up and scale out your applications, one of the fastest approaches is to deploy an in-memory data…
On Demand Webinar
Ivan Rakov
Apache Ignite can function in a strong consistency mode which keeps application records in sync across all primary and backup replicas. It also supports distributed ACID transactions that allow you to update multiple entries stored on different cluster nodes and in various caches/tables.
On Demand Webinar
Denis Magda
Apache Ignite 2.8 includes over 1,900 upgrades and fixes that enhance almost all components of the platform. The release notes include hundreds of line items cataloging the improvements. In this webinar Ignite community members demonstrate and dissect new capabilities related to production maintenance, monitoring, and machine learning including:
On Demand Webinar
Denis Magda
Attendees will be introduced to the fundamental capabilities of in-memory computing platforms (IMCPs) in this Apache Ignite tutorial. IMCPs boost application performance and solve scalability problems by storing and processing unlimited data sets distributed across a cluster of interconnected machines.
On Demand Webinar
Ken Cottrell
With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data and to train models. It can also be hard to scale with data sets that are increasingly frequently larger than the capacity of any single server. The size of the data can also make it hard to incrementally test and retrain models in near real-time to improve business results.
On Demand Webinar
Andrey Alexandrov
Apache Ignite® and GridGain® allow you to perform fast calculations and run highly efficient queries over distributed data. Both Ignite and GridGain provide a flexible configuration that can help you make cluster operations more secure. In this webinar, we will cover the following security topics:
On Demand Webinar
Valentin Kulichenko
Deployment models for Apache Ignite® and applications connected to it vary depending on the target production environment. A bare metal environment provides the most flexibility and fewer restrictions on configuration options.
On Demand Webinar
Alexey Goncharuk
Change Data Capture (CDC) has become a very efficient way to automate and simplify the ETL process for data synchronization between disjointed databases. It is also a useful tool for efficient replication schemas. We will cover the fundamental principles and restrictions of CDC and review examples of how change data capture is implemented in real life use cases.
On Demand Webinar
Denis Mekhanikov
To take full advantage of an in-memory platform, it’s often not enough to upload your data into a cluster and start querying it with key-value or SQL APIs. You need to distribute the data efficiently and tap into distributed computations that minimize data movement over the network.