DevNexus is the premier conference for professional software developers who want to hear from and interact directly with internationally acclaimed presenters and technologists. While you're there, you'll also connect with like-minded developers who are mastering their craft in a wide range of today's most relevant technologies.
Join us in New York at 6:30 pm EST for an evening of networking with Big Data professionals and learning about the latest Apache project, which provides critical capabilities for the emerging world of Fast Data.
Join us in San Francisco on February 25, 2015 at 6:30 pm PST for an evening of networking with Big Data professionals and learning about the latest Apache project, which provides critical capabilities for the emerging world of Fast Data.
Meet us at the 13th Annual Southern California Linux Expo (SCALE 13x) for a workshop on Apache Ignite, and visit the Ignite team at the Apache Bigtop booth. SCALE 13x will have several specialized tracks, including: Beginner System Administration, Developer track, Emerging Applications, Cloud and Virtualization, Kernel, Embedded systems and Next Generation.
Join us on February 11, 2015 at 11:00 AM PST/2:00 PM EST for this webinar featuring Evaluator Group Senior Partner, John Webster, and GridGain CTO, Nikita Ivanov that looks at the evolution of corporate executive thinking around what enterprise executives — and CEOs in particular — really want to do with data and do so in real time.
In this one hour webinar Evaluator Group Senior Partner, John Webster, and GridGain CTO, Nikita Ivanov look at the evolution of corporate executive thinking around what enterprise executives — and CEOs in particular — really want to do with data and do so in real-time.
Join us in Philadelphia on February 4, 2015 at 6:30 pm EST for an evening of networking with Big Data professionals and learning about the In-Memory Data Fabric -- the leading edge technology that is pushing the envelope of what Big Data can do.
Join GridGain Solution Architect Mac Moore on January 27, 2015 at 11:00 AM PST / 2:00 PM EST, as he explains how to harden the deployment of the GridGain In-Memory Data Fabric by taking advantage of a number of enterprise-grade features in the commercial version of the product designed for always up, always on real-time data processing.
Businesses large and small are increasingly turning to comprehensive in-memory data processing solutions such as the GridGain In-Memory Data Fabric to address their Fast Data challenges and create a competitive advantage by operating as a real-time business.
Businesses large and small are increasingly turning to comprehensive in-memory data processing solutions such as the GridGain In-Memory Data Fabric to address their Fast Data challenges and create a competitive advantage by operating as a real-time business.
Join us in Denver for an evening of networking with Big Data professionals and learning about the In-Memory Data Fabric -- the leading edge technology that is pushing the envelope of what Big Data can do.
Join us in Denver for an evening of networking with Big Data professionals and learning about the In-Memory Data Fabric -- the leading edge technology that is pushing the envelope of what Big Data can do.
Join GridGain VP of Engineering, Dmitriy Setrakyan as he takes a deep dive into the strategy and architecture of the GridGain's In-memory Data Fabric as well as exploring various other technologies on the market, and how they address big data challenges like distributed data grids and clusters, streaming data and accelerating Hadoop.
GridGain founder and CTO, Nikita Ivanov describes the strategy and architecture behind the latest, recent release of GridGain's open source In-Memory Data Fabric, and explains how it compares with other in-memory technologies. He then dives into the technical details of distributed clusters and compute grids as well as distributed data grids, and provides code samples for each.
GridGain founder and CTO, Nikita Ivanov describes the strategy and architecture behind the latest, recent release of GridGain's open source In-Memory Data Fabric, and explains how it compares with other in-memory technologies. He then dives into the technical details of distributed clusters and compute grids as well as distributed data grids, and provides code samples for each.