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.


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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During this webinar, we will discuss the different types of financial data, ways financial and fintech companies process it, and show how in-memory computing is used to instantaneously analyze and make decisions based on internally and externally available data. 
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Join GridGain Systems Product Manager Denis Magda as he introduces the newest features in Apache Ignite 2.0 including the dramatically improved memory architecture and enhanced SQL DDL support. Apache Ignite 2.0 is a turnkey release which blends a distributed in-memory SQL database (IMDB) and an in-memory key-value data grid (IMDG) under one data management platform…
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During this webinar, join GridGain Systems’ Matt Sarrel, Director of Technical Marketing, and Rachel Pedreschi, Lead Solutions Architect as they discuss the advantages of GridGain’s In-Memory Data Grid, how it works, how customers are using it, and how it works with other components to create a complete in-memory computing platform.
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In this webinar hosted by GridGain Systems and 451 Research, you’ll hear about the compelling drivers for in-memory computing technologies: especially in-memory databases, data grids, and platforms.
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