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The most popular blog posts about databases & data on Hacker News. 1,888 posts.

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333

The Truth About Linear Regression (2015)

This is basically a compilation of the lecture notes I wrote when teaching 36-401, Modern Regression, in fall 2015 . I offer it here on the chance that it might be of interest to those learning, or teaching, linear regression. There's no shortage of resources on that, but I have tried to present the subject as though…

340

PostGIS at 20, the Beginning

Twenty years ago today, the first email on the postgis users mailing list (at that time hosted on yahoogroups.com) was sent, announcing the first numbered release of PostGIS. The early history of PostGIS was tightly bound to a consulting company I had started a few years prior, Refractions Research. My first contracts…

341

Jepsen: VoltDB 6.3

In the last Jepsen post, we found that RethinkDB could lose data when a network partition occurred during cluster reconfiguration. In this analysis, we’ll show that although VoltDB 6.3 claims strict serializability, internal optimizations and bugs lead to stale reads, dirty reads, and even lost updates; fixes are now…

345

Dear Postgres

Dear Postgres, I’ve always felt an affinity for you in my 9 years of working with you. I know others have known you longer, but that doesn’t mean they love you more. Years ago when others complained about your rigidness or that you weren’t as accommodating as others I found solace in your steadfast values: Don’t lose…

352

I don't want to learn your query language (2018)

This is a bit of a rant but I really don't like software that invents its own query language. There's a trillion different ORMs out there. Another trillion databases with their own query language. Another trillion SaaS products where the only way to query is to learn some random query DSL they made up.

359

Why xkcd-style graphs are important

For most data scientists, a toolkit like scipy/matplotlib or R becomes so familiar that it becomes almost an extension of their own mind. When fleshing out an idea, we will just open up ipython, write a few lines of code, and display the plot on the screen to get …