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The full conference breakout session schedule for the third-annual In-Memory Computing Summit Europe 2019 conference was just announced. The conference, June 3-4 at the the Park Plaza Victoria London, will include breakout sessions from Capital One, Cerner Corporation, BCS Financial Group, GridGain Systems, GSI Technology, Hazelcast, Oracle, Redis Labs, Confluent, Sberbank and ScaleOut Software…
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Two events in rather exotic locals are keeping GridGain experts busy this week – the Shanghai In-Memory Computing Meetup and the Open Data Science Meetup Saint Petersburg Meetup.   In Shanghai this evening (March 13), GridGain Asia-Pac solutions architect Stephen Leung is explaining how combining Apache® Ignite™ with a Relational DBMS gives companies a highly scalable, high-velocity grid-based…
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GridGain Systems will be hosting and/or participating in several industry events during March and April, where the company’s experts will share the latest information and developments related to in-memory computing technology and business trends. Let's take a closer look at these upcoming events (conferences, webinars and meetups). Conferences Big Data Paris 2019 – March 11-12, 2019 – GridGain…
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Introduction In the first article in this series, we installed Node.js, the Node.js Thin Client package for Ignite and tested an example application. In this article, let's look at a particular scenario where Ignite can really help when working with existing data from another source, such as a Relational Database System. Often in industry, there are systems that have great business value. These…
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In summing up the business side of GridGain for last year (compared with the community side that I usually blog about), the company continued strong momentum throughout 2018. Let's take a closer look.   Key achievements during the year included 200 percent year-over-year growth in new customers, numerous industry honors, key product and service innovations and increasing popularity of the In-…
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GridGain's Rob Meyer continues his series on in-memory computing best practices this Thursday when he'll be talking about digital transformation and why delivering a responsive digital business is not possible at scale without in-memory computing. The webinar is titled, "In-Memory Computing Best Practices: Developing New Apps, Channels and APIs" and I suggest registering now to reserve your spot…
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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 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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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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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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GridGain Systems received numerous industry honors during the course of 2018. The recognition came from an array of prestigious tech awards and industry lists, including Deloitte Technology Fast 500, Inc. 5000, Red Herring Global Top 100, American Business Stevies, and many more. The awards reflect GridGain’s continued dominance in the in-memory computing industry, as well as the company’s…
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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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Two Apache® Ignite™ experts will be delivering a couple of webinars tomorrow (Nov. 28)  – one explaining the nuances of Machine Learning with Ignite ML, and another documenting how to add speed and scale to SQL.   The great thing about GridGain webinars is that although they are live, interactive events, they are also recorded. So if you miss either of these, just register as normal even after…
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One of the features of Apache® Ignite™ is its ability to integrate with streaming technologies, such as Spark Streaming, Flink, Kafka, and so on. These streaming capabilities can be used to ingest finite quantities of data or continuous streams of data, with the added bonus of fault tolerance and scale that Ignite provides. Data can be streamed into Ignite at very high rates that may reach many…
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