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Published : Apr 26, 2023
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2023
Assess ?

在数据工程领域,可选用工具和技术数量之多,让人眼花缭乱。 对于经验较少的工程师,借助一个抽象层来接触这些工具未尝不是一种合理的对策。这让他们能够专注于手头的任务,而不必分心去学习各个技术专用的 API,并且可以不费力地配置不同的底层实现技术。 Fugue 就是这样一个抽象层。 它为分布式计算提供统一的接口,使得在 SparkDask、Ray 和 DuckDB 经过较少的修改就能运行Python、pandas 和 SQL 代码。 不过,如果团队已经决定采用某一组确定的技术,并且熟悉这些技术的 API,能够对工具的系统底层做深入的调整和设置,那么这样的抽象层提供的价值就会降低。

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