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Titlebook: Scripting Intelligence; Web 3.0 Information Mark Watson Book 2009 Mark Watson 2009 Clean.Natural.Processing.Ruby.SPARQL.Web 2.0.informatio

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楼主: lutein
发表于 2025-3-23 10:31:42 | 显示全部楼层
Performing Large-Scale Data Processingng that assumes multiple available servers, but you don’t need to max out the individual servers with memory and other resources. Specifically, we are going to use the distributed map/reduce algorithm as implemented in the Hadoop open source project (http://hadoop.apache.org). Hadoop is based on Google’s distributed map/reduce system.
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Working with Relational Databasesthat a trend in Web 3.0 development will be a continued reduction in the cost of development and software maintenance. I expect to see continued improvements in the expressiveness of ORM frameworks based on domain-specific languages (DSLs), which will make development more efficient.
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