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
Nikita Ivanov & Peter Zaitsev
MySQL® is an extremely popular and widely used RDBMS. Apache® Ignite™ is the leading open source in-memory computing platform which can provide speed and scale to RDBMS-based applications. Apache Ignite is inserted between existing application and data layers and works with all common RDBMS, NoSQL and Hadoop® databases.
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On Demand Webinar
Valentin Kulichenko
Distributed in-memory computing systems such as Apache® Ignite™ improve performance and scalability of user applications. However, when dealing with distributed systems, proper deployment and tuning are very important.
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On Demand Webinar
Denis Magda
In-memory computing solutions boost performance due to their key-value based architecture, however, flexible SQL support is required for both application and business needs. Many in-memory data grid (IMDG) vendors address the need for SQL support by inventing their own query engines or by providing limited SQL support, but neither approach meets real world needs.
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On Demand Webinar
Eric Karpman
Financial spread betting has been one of the major global growth markets since the financial crisis of 2008. There are several reasons for this, including preferential tax treatment, low entry and transaction costs, wider bid-offer spreads, less regulation, and a diverse universe of products and options.
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On Demand Webinar
Eric Karpman
Fraud is a growing multi-billion dollar business. Detecting fraud requires complex data processing, modeling and analysis performed in real-time. Financial services institutions are committed to protecting their customers from fraud, protecting themselves from losses due to financial crime and complying with a myriad of local and global regulations.
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On Demand Webinar
Dmitriy Setrakyan
In-memory computing has transformed so many times over the past twenty-five years, it is easy to get confused. Is it database caching or a data grid? Is it streaming or acceleration? What about in-memory databases, and computing platforms?
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On Demand Webinar
Rachel Pedreschi & Igor Rudyak
Apache® Cassandra™ is a popular NoSQL database which promises an “always available” and scalable architecture that appeals to many distributed system developers. But Cassandra is not fast enough for some of today’s extreme OLTP workloads. It pulls data from disk and does not support in-memory workloads so it may not meet tight SLAs or solve extreme performance needs.
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On Demand Webinar
Dmitriy Setrakyan
Apache Spark™ and Apache Ignite™ are two powerful solutions for high-performance Big Data and Fast Data. Using Spark and Ignite together is an easy way to boost performance by orders of magnitude for your next generation real-time applications. With Spark plus Ignite, you can share state across Spark jobs, applications, and workers and your Spark queries will also run much…
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On Demand Webinar
Eric Karpman
High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity.  High frequency, algorithmic and quantitative trading is becoming the norm.
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On Demand Webinar
Rachel Pedreschi
Traditional data warehouse architectures and techniques are quickly becoming obsolete due to hardware and software technology innovations. In addition, users are much more demanding and sophisticated, requiring access to both transactional and analytical data in real-time.
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On Demand Webinar
Dmitriy Setrakyan
During this webinar, Dmitry Setrakyan will provide a deep dive into GridGain and Apache Ignite support for .NET. He will describe how these solutions can allow you to decrease data query times by 1,000x and massively scale out your .NET applications with in-memory computing.
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On Demand Webinar
Eric Karpman
Regulatory tightening is required by Dodd Frank, Volker, Best Execution, Basel, MiFID, and CCAR. AML, KYC and fraud detection demand real-time compliance. Financial services organizations face unprecedented and growing technical challenges.
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On Demand Webinar
Eric Karpman
In-memory computing addresses the toughest Big Data challenges in the financial services industry. Join GridGain’s Eric Karpman, a 30-year veteran of the financial services industry, as he shares how some of the world’s largest financial institutions use the power of in-memory computing for:
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On Demand Webinar
Christos Erotocritou
Over 30 billion devices will be wirelessly connected to the Internet by 2020.
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On Demand Webinar
Dmitriy Setrakyan
GridGain In-Memory Data Fabric v. 7.5, built on Apache® Ignite™ v. 1.5, provides enterprise clients with significant performance improvements over previous versions, deadlock free transactions, plus all of the high value Enterprise Edition features which make deploying and managing Apache Ignite in a mission-critical environment much easier.
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