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#163: Do We Need Specialized Graph Databases?

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[数据库(综合) 所属分类 数据库(综合) | 发布者 店小二03 | 时间 2017 | 作者 红领巾 ] 0人收藏点击收藏

Delivering Billions of Messages Exactly Once ― The single requirement of all data pipelines is that they cannot lose data, but de-duplicating messages can be the trickier part.

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A pipeline for continuous data migration with the SQLizer API ― With data holed up in third party apps everywhere, APIs are the sensible way to continuously migrate data to your own databases. The SQLizer API gives you essential conversion to SQL capability for your migration pipeline, all from your command line.

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#163: Do We Need Specialized Graph Databases?

Do We Need Specialized Graph Databases? ― A look through an academic paper where the authors ran a graph data management system benchmark suite over several popular graph databases with interesting results.

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Working with DynamoDB At Scale is Very Tricky ― Or, as the author puts it, “You probably shouldn’t use DynamoDB” . (Note: DynamoDB is AWS’s NoSQL database service.)

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ORMs Should Update “Changed” Values, Not Just “Modified” Ones ― How the SQL language and its implementations distinguish between changed values and modified values.

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Using SQL Within Google Sheets ― Did you know Google’s Web-based spreadsheet tool includes a ‘query’ function for using SQL against your spreadsheet? This is a guide to using it.

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All About Indexes: The Very Basics ― Well placed and defined indexes will improve your database’s performance significantly. A popular article from last year.

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本文数据库(综合)相关术语:系统安全软件

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