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Yet we still program with text—in files. That means multiple data indirections mean multiple cache misses. He told me his work in functional programming languages failed, and would likely always fail, because it was easy to do hard things but incredibly difficult to do simple things. Do you like this sort of Stuff?
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For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data. The Challenges with Parallel Queries.
For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data. The Challenges with Parallel Queries.
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Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.
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And I think there’s a lot of people who, like I said, they gravitate towards the framework way of doing things, but they’re not super happy with what it actually produces because, I’m writing a blog or I’m writing a marketing page or something like that, I don’t need all this Java script, but I’m kind of used to it and it builds well.
Drew McLellan: He’s the author of the Vanilla JavaScript Pocket Guide series, creator of the Vanilla JavaScript Academy Training Program and host of the Vanilla JavaScript Podcast. Your template goes here, your Java script goes here, your CSS goes here. How To Maintain A Large Next.js Application written by Nirmalya Ghosh. Transcript.
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