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.

On Demand Webinar
Denis Magda
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, you’ll learn about:
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On Demand Webinar
Akmal B. Chaudhri
The healthcare industry provides many different challenges for the storage and analysis of massive amounts of data in real-time. This is due to the varying requirements across the industry, such as the increasing use of Electronic Health Records (EHRs), personalised medicine, new patient and provider expectations for real-time insurance systems, and drug discovery, for example.
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On Demand Webinar
Dmitriy Setrakyan
In this 1-hour webinar, GridGain Systems Chief Product Officer Dmitriy Setrakyan will present how distributed memory-centric architectures can be applied to various financial systems.
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On Demand Webinar
Denis Magda
In this webinar, Denis Magda, GridGain Director of Product Management and Apache Ignite PMC Chairman, will introduce the fundamental capabilities and components of an in-memory computing platform, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, you’ll learn about:
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On Demand Webinar
Denis Magda
During this 1-hour webinar, GridGain Product Manager and Apache® Ignite™
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On Demand Webinar
Akmal B. Chaudhri
Learn how to boost performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your SQL-based applications. Apache Ignite is a unique data management platform that is built on top of a distributed key-value storage and provides full-fledged SQL support.
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On Demand Webinar
Fotios Filacouris
PostgreSQL is one of the most popular open source RDBMSs. Apache® Ignite™ is the leading open source in-memory computing platform. The Apache Ignite distributed computing platform is inserted between the application and data layers and works with all common RDBMS, NoSQL and Hadoop® databases to provide speed, scale and high availability.
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On Demand Webinar
Akmal B. Chaudhri
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.
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On Demand Webinar
Rachel Pedreschi
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…
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On Demand Webinar
Denis Magda
Apache® Ignite™ is the leading open source in-memory computing platform. Apache Ignite is deployed between the application and data layers and works with all common RDBMS, NoSQL and Hadoop® database to provide speed, scalability and high availability.
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On Demand Webinar
Dani Traphagen
If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.
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On Demand Webinar
Valentin Kulichenko
It’s well known that there is a tradeoff between data consistency and high availability. But at the same time, there are lots of applications that still require very strong consistency guarantees, and making such applications highly available can be quite a challenge.
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On Demand Webinar
Matt Sarrel
Telecommunications is no longer as simple as connecting a bunch of wires and physically maintaining them in order to deliver a dial tone. Today’s telecommunications providers face myriad challenges around big data and analytics. Data, and unlimited data plans, is stretched telco networks to provide capacity and services that no one had dreamed of even 15 years ago.
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On Demand Webinar
Akmal B. Chaudhri
There is a myth that online financial operations need to be delegated to relational databases due to their ACID transaction support. But today, most of these disk-based relational databases cannot keep pace with the rapidly growing volumes of data that are becoming a bottleneck in the overall transactional system.
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On Demand Webinar
Fotios Filacouris
Ever-changing financial regulatory compliance policy is causing unprecedented and growing technical challenges. Banks and other financial institutions must continuously monitor, collect, and analyze vast amounts of data from multiple, disparate sources in real-time.
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