DataHoarder users are expressing their annoyance and distrust at Twitter, which is beginning to require users login to view tweets. Given Twitter’s many other data-ethics issues, what should be a minor annoyance compounds into a big issue.

Public enemy no.1 is breaking containment. SEO proprietor Cyrus Shepard explains how Google stifles antitrust suits with “Googlespeak”. Can this dystopian future be stopped before Google IS the internet and all of humanity is either a user or partner?

Nitter is an alternative Front-End for Twitter that rips off and tosses Twitter’s front-end, insulating your device from whatever new “creepy uncle” licenses Twitter decided it wants to take with your data this week.

Fascinating. Ever wonder how Discord handles the 100 million+ messages its users create every day? Here’s a look into the hardware infrastructure, software architecture, and data modeling that Discord uses to efficiently store and retrieve that data glut.

“The best way to complain is to build things”. What an absolutely brilliant way to sum up what these people built. This project races programming languages through standard benchmark trials with transparent methodology.

Great work by The Markup! This disturbing piece of investigative journalism details Google’s Antitrust countermeasures using internal Google and Alphabet documents. Remember when bundling an OS and Browser was grounds for action?

Another great piece from The Markup on Google’s anticompetitive practices, Gitwhere Google grants itself the top spots, even feeding its own services other websites’ scraped content. With nothing to fear from Biden’s regulators, Google will escalate this.

Strap in and keep a bucket handy, here comes three concentrated pages of lawyerese epicac. Shockingly, this internal Google document concludes by threatening it’s own employees:

“And we’re pretty good at finding things, even if a person has deleted it.”

his is a great overview of the pipelining and data structures Slack uses to track Data Lineage in accordance with GDPR and backfill data after revisions to connected datasets. Plenty of densely packed information and tips, well worth a read.

If you’re in the market for an ETL service, this is a great read. It breaks down what an ETL does into understandable abstract analogies. By the end you’ll have a discerning eye and reasonably understand your company’s needs.