[英]Databricks or Functions with ADF?
I'm using ADF to output some reports to pdf (at least that's the goal.)我正在使用 ADF 将一些报告输出为 pdf(至少这是目标。)
I'm using ADF to output a csv to a storage blob and I would like to ingest that, do some formatting and stats work (with scipy and matplotlib in python) and export as a pdf to the same container.我正在使用 ADF 将 csv 输出到存储 blob,我想摄取它,做一些格式化和统计工作(在 python 中使用 scipy 和 matplotlib)并作为 pdf 导出到同一个容器。 This would be run once a month, and I may do a few other things like this, but they are periodical reports at the most, no streaming or anything like that.
这将每月运行一次,我可能会做一些其他类似的事情,但它们最多是定期报告,没有流媒体或类似的东西。
From an architectural stand point, would this be a good application for an Azure Function (which I have some experience), or Azure Databricks (which I will want some experience in).从架构的角度来看,这是否是 Azure Function(我有一些经验)或 Azure Databricks(我需要一些经验)的好应用程序。
My first thought is the Azure Functions, since they are serverless and pay-as-you-go.我的第一个想法是 Azure Functions,因为它们是无服务器且即用即付的。 But I don't know too much about Databricks except that it's primarily used for big data and long running jobs.
但我对 Databricks 知之甚少,只知道它主要用于大数据和长时间运行的作业。
Databricks would be almost certainly an overkill for this.对此,Databricks 几乎可以肯定是一种矫枉过正。 So yes, Azure Function for Python sounds like a perfect fit for your scenario.
是的,适用于 Python 的 Azure 函数听起来非常适合您的方案。
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.