ApacheCon North America

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ApacheCon2015ApacheCon North America 2015 brings together the open source community to learn about and collaborate on the technologies and projects driving the future of open source, big data and cloud computing. Apache projects have and continue to be hugely influential in the innovation and development of software development across a plethora of categories from content, databases and servers, to big data, cloud, mobile and virtual machine. The developers, programmers, committers and users driving this innovation and utilizing these tools will meet in Austin, April 13-17, 2015, for collaboration, education and community building.

Platinum sponsor of ApacheCon, GridGain Systems, Inc., a leading innovator behind open source and commercial in-memory data fabric solutions that accelerate business operations and time to insights for the enterprise and in the cloud, announced that the company’s founder and CTO, Nikita Ivanov, and its co-founder and EVP of Engineering, Dmitriy Setrakyan, will speak at ApacheCon North America.

Ignite PMC Member Nikita Ivanov will present the keynote entitled “Introducing Apache Ignite™ (incubating).” In this keynote session, he will highlight Apache Ignite™, the first open source, in-memory data fabric designed to add speed and scale to real-time analytics, high-volume transactions and hybrid data processing. Apache Ignite works with new or existing applications and data stores, including SQL, NoSQL and Hadoop.

Ignite PMC Chair Dmitriy Setrakyan will present a session entitled “Apache Ignite (incubating): Anatomy of an In-Memory Data Fabric.” In this session, Setrakyan will describe the strategy and architecture behind Apache Ignite™ (incubating), a high-performance, distributed in-memory data management software layer that has been designed to operate between both new and existing data sources and applications, boosting application performance and scale by orders of magnitude. He will dive into the technical details of distributed clusters and compute grids as well as distributed data grids, and provide code samples for each.


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