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We’ve got a busy week ahead for in-memory computing enthusiasts. A meetup tonight in New York City and two in-memory workshops tomorrow evening in Boston and Silicon Valley.    GridGain and Apache® Ignite™ evangelist  Akmal Chaudhri is in New York City for tonight’s  NYC In-Memory Computing Meetup. His talk is titled, "Relational DBMSs: Faster Transactions and Analytics with In-Memory Computing…
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Introduction Apache® Ignite™ has supported Machine Learning capabilities for a while now. With the release of Ignite v2.7, additional Machine Learning and Deep Learning capabilities have been added, including the much-anticipated support for TensorFlow™. TensorFlow is an open-source library that can be used for numerical computations and for performing Machine Learning at scale. It is also very…
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GridGain Cloud, an In-Memory-Computing-Platform-as-a-Service (imcPaaS) solution, based on Apache® Ignite™, now includes automatic disk-based persistence of the in-memory operational dataset which ensures immediate data access if a cluster restart is ever required. Anyone interested in testing Apache Ignite as an in-memory database (IMDB) can now launch a free 4-node trial environment with just a…
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GridGain is kicking off the New Year with our experts set to speak at several meetups around the world along with the delivery of multiple webinars in January and February. They'll be sharing the latest information and developments related to in-memory computing technology and business trends. Terry Erisman, vice president of marketing at GridGain Systems, said in-memory computing is now a…
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It’s New Year’s Eve! Looking back over the past 12 months, 2018 has been a stellar year for the GridGain/Apache® Ignite™ community. Our experts spoke at 147 meetups and 37 conferences around the globe, and also participated in 36 webinars. That’s about 220 hours of combined talks – mostly about the open-source Apache Ignite. Incredible! A majority of the talks were presented by our intrepid…
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GridGain's Dmitry Govorukhin and Yury Babak presented at yesterday's St. Petersburg Apache® Ignite™ Meetup #4, an informal gathering of Ignite enthusiasts coming together for an evening of talks, mingling, food and a raffle.  Dmitry's talk was titled, "What every Java developer should know about disk IO." Yuri's talk was titled, "Apache Ignite - Distributed Machine Learning with Java API." Both…
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Apache® Ignite™ community volunteers maintain an extremely informative and well-designed website that's updated nearly daily with the latest news about this open source project. I'll share a small portion of the content here on GridGain's blog over the next few days that will outline some Ignite basic concepts, facts, tips and tricks. In this post, we'll introduce Ignite. Read…
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I’ve created a checklist for new users of Apache® Ignite™ to help overcome common challenges I’ve seen them encounter when developing their first applications with an Ignite cluster. This checklist was put together from questions new users routinely ask the Apache Ignite community on the user and dev lists.   In a nutshell, this post will discuss how to  ensure that your Apache Ignite cluster…
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I admit that I was a little reluctant to organize a meetup during the middle of the holiday season -- but I’m glad I did. More than 50 people showed up for last Wednesday’s event -- a new attendance record for the Bay Area In-Memory Computing Meetup!     I’m not sure if it was the speakers this time around, the talk topics or something else. I do know the location was a good one: I found a…
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GridGain today announced the release of GridGain Professional Edition 2.7, a fully supported version of Apache Ignite 2.7. GridGain Professional Edition 2.7 introduces TensorFlow™ integration for enhanced training of deep learning (DL) models. GridGain Professional Edition 2.7 also provides enhanced usability, including expanded support for thin clients, as well as Transparent Data Encryption at…
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RSVP now for our Dec. 12 webinar and learn how to complement a Relational DBMS for Hybrid Transactional/Analytical Processing (HTAP) by leveraging the massive parallel processing and SQL capabilities of Apache Ignite. Details here. You'll also learn how to use Apache Ignite as an In-Memory Data Grid that stores data in memory and boosts applications performance by offloading reads from a…
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GridGain technology evangelist Akmal Chaudhri is in the middle of another three-day, three city meetup tour this week – this time around featuring Kubernetes. All three meetups are sold-out! (They are all free events but the RSVP limit maxed out).     Yesterday he spoke at the München Kubernetes/Cloud-Native Meetup; this evening he’ll be the featured speaker at the Hamburg Kubernetes/Cloud-…
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This post takes a closer look at Apache Ignite’s C++ API (called Ignite C++). It's intended primarily for C/C++ programmers. Ignite and Ignite С++ Ignite C++ is built on top of Ignite Ignite С++ starts the JVM in the same process and communicates with it via JNI .NET, C++ and Java nodes can join the same cluster, use the same caches, and interoperate using common binary protocol Java…
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GridGain technology evangelist Akmal Chaudhri is in New York City preparing for his third meetup in a row. Tonight, he'll be speaking at the NYC In-Memory Computing Meetup. The event will take place at “Spaces,” 1740 Broadway, New York on the 15th floor. In this presentation, attendees will learn how to achieve the best performance and scale with the new memory-centric approach to distributed…
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Last week my colleague Valentin Kulichenko, lead architect at GridGain Systems recorded a webinar explaining how companies have been using Apache® Ignite™ to overcome today’s data challenges.  He demonstrated how companies have been using Ignite to add in-memory speed and unlimited horizontal scale to SQL with no rip-and-replace of the underlying database. The webinar, recorded Nov. 28, was…
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