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Note: This is the third and final post in the blog series: Continuous Machine Learning at Scale With Apache Ignite. For post 1 click here and for post 2 click here. In my first post, I introduced Apache® Ignite™ machine learning and explained how it delivers large-scale, distributed, machine-learning (ML) workloads. In my second post, I discussed the Apache Ignite model-building stages. The…
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Note: This is post 2 in the blog series: Continuous Machine Learning at Scale with Apache Ignite. For post 1 click here and for post 3 click here. In my first post, I introduced the topic “continuous machine learning at scale with Apache Ignite,” which is how we members of the Apache® Ignite™ community describe machine learning (ML) architectures that offer the following advantages: Support…
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In-memory computing can provide tremendous benefits for the 5G ecosystem. We’ve seen the marketing for the new fifth-generation mobile networks. The benefits of 5G for end-users are easy to understand. Speeds faster than your home broadband and latencies only a little slower promise to be game-changers for consumers, enhancing existing applications and opening open entirely new categories that we…
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Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data…
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My acquaintanceship with PostgreSQL started back in 2009 - the time when many companies were trying to board the social networking train by following Facebook's footsteps. An employer I used to work for was not an exception. Our team was building a social networking platform for a specific audience and faced various architectural challenges. For instance, soon after launching the product and…
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Introduction The Spark SQL engine provides structured streaming data processing. The benefit here is that users can implement scalable and fault-tolerant data stream processing between the initial data source and final data sync. You can read more about it here: https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html Apache Ignite provides the…
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GridGain has once again been named to the Inc. 5000 – the highly regarded ranking of the nation’s fastest-growing private companies. This is the third year in a row GridGain has been named to the list. GridGain, which experienced 797 percent growth over the last three years and doubled sales during the first half of 2019 compared to the same period in 2018, is ranked 558 on the 2019 Inc. 5000 …
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We had a great event in Menlo Park earlier this evening at the Bay Area In-Memory Computing Meetup. Catch the two excellent talks by watching the recording below on GridGain's YouTube page.  The speakers were Nikita Ivanov, Founder & CTO, GridGain Systems and Andy Rivenes [@TheInMemoryGuy], product manager at Oracle for Database In-Memory. Nikita was up first. His talk…
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Join us in Menlo Park for the next Bay Area In-Memory Computing Meetup! We'll have two great talks plus dinner, beverages and stellar raffle prizes! This free event is sponsored by GridGain Systems & Oracle. Register here to reserve your spot. Speakers: Nikita Ivanov, Founder & CTO, GridGain Systems Andy Rivenes [@TheInMemoryGuy], Product Manager at Oracle for Database In-Memory…
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Join the in-memory computing community for two days of learning and networking at the In-Memory Computing Summit North America 2019, November 13-14 at the Hyatt Regency San Francisco Airport’s conference center. I invite current users of in-memory computing to contribute to the conversations by submitting a speaking proposal by August 9 that’s focused on one or more of the following topics…
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Join us in Menlo Park July 17 for the next Bay Area In-Memory Computing Meetup! We’ll have three interesting and informative talks, great food and awesome raffle prizes.  This is a free event but space will be limited. Be sure to register now to reserve your spot.  Talk 1:  “Cloud deployment best practices,” with Greg Stachnick, director of product management at GridGain Systems. Abstract:…
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After a long holiday weekend, our GridGain experts are gearing up for more events next week. We’re scheduling the next Bay Area In-Memory Computing Meetup for July 17 and the NYC In-Memory Computing Meetup for July 25. I'll share details on those later this week. In the meantime, here's a recap of a very busy last week of June.  Monday, June 24: Bay Area In-Memory Computing Meetup. GridGain’s…
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The Call for Papers is now open for the fifth-annual In-Memory Computing Summit North America. The conference, organized by GridGain Systems, is taking place November 13-14, 2019 at the Hyatt Regency San Francisco Airport. Prospective presenters have until July 28 to submit their talks, The In-Memory Computing Summit (IMCS) is held annually in both Europe and North America. The conferences are…
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It’s not officially summer yet and GridGain experts are not slowing down. Several are participating in multiple industry events during late May and June, where our company experts and other industry thought leaders are sharing their insights on the latest in-memory computing technology developments and trends. “In-memory computing can make new or existing applications 1,000x faster and scalable…
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GridGain Systems today announced it has joined the Cloud Native Computing Foundation® (CNCF®) and The Linux Foundation. Increasingly deployed in the Cloud, GridGain looks to contribute to growing body of Cloud Native best practices. GridGain is demonstrating its support for the CNCF with a Silver Membership and participating in the foundation’s programs and guidance related to supporting cloud…
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