Technical Presentations About GridGain and Apache Ignite

The technical presentations below 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, data lake acceleration, machine learning, deep learning, and how to apply these technologies and others to power your organizations’ digital transformation. These technical presentations have been developed and presented by GridGain in-memory computing experts.


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.
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Learn how to get Apache Ignite native persistence up and running, and tips and tricks to get the best performance.
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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. 
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Join Fotios Filacouris, GridGain Solution Architect, as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:
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Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers can find hidden insights without the help of explicit programming. These insights bring tremendous benefits to many different domains.
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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…
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In this webinar, GridGain System’s Solution Architect Dani Traphagen will walk through the basics of a Kubernetes and Apache Ignite deployment, including:
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In this session, Valentin Kulichenko, GridGain System’s Lead Architect, will give an overview of Apache® Ignite™ and GridGain capabilities that allow the delivery as much availability as possible, while not breaking data consistency. Valentin will give specific guidelines on how to build such systems, and will do a deep dive into topics like:
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During this webinar, we discuss how in-memory computing is being used to increase the performance and scalability of the following:
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In this webinar, GridGain Systems Chief Product Officer and Co-Founder Dmitriy Setrakyan will cover the key new features in GridGain and Apache Ignite, including one-of-a-kind support for distributed, transactional, ACID-compliant disk persistence coupled with full SQL compatibility.
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During this session, Akmal Chaudhri, GridGain System's Technical Evangelist, will do a deep-dive on the architecture of Apache Ignite's ACID-compliant transactional subsystem, elaborating on the following:
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