Jeremy Meyer
Head of Consulting, Education and the GridGain University.
Montréal, Canada
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More than 20 years as a computer scientist and software engineer, developer, writer and educator.
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Colocation and data affinity in Apache Ignite
Ignite achieves great speed and scale by colocating related data on the same cluster node to reduce network latency to a minimum. We will share this micro learning unit which explains the importance of this and the basis of how it works, followed by a question and answer session with our consultants.
Getting Started with the Apache ignite compute grid
The Apache Ignite Compute Grid allows you to tackle large computational tasks at scale by distributing tasks across the node of your cluster and colocating the computations with data for low latency, highly parallelized operations. Learn more about how Apache Ignite achieves this high speed and scaleable capability and how to get started. We will show you the GridGain University Microlearning Unit on Compute Grid, followed by a live Q and A session with our inhouse experts.
Understanding Distributed Data in Apache ignite
Data distribution is one of the fundamental principles that is key the high performance and scalability of Apache Ignite. We will share our GridGain University micro learning unit about this topic with you and give you a chance to ask some of our technical experts questions afterwards.
Jeremy Meyer
Head of Consulting, Education and the GridGain University.
Montréal, Canada
Links
Actions
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