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@thomastraynor@social.linux.pizza
2025-10-14 16:39:00

All I can say is 'oh crap'...
ctvnews.ca/canada/article/cana

@fanf@mendeddrum.org
2025-10-13 14:42:01

from my link log —
Route 53 DNS: Amazon’s premier AWS database.
lastweekinaws.com/blog/route-5
saved 2021-02-18

@selea@social.linux.pizza
2025-12-14 17:22:12

Turns out, that if you want to do a database migration - it is much faster to do it when the database is physically close to you, and not 3000km away
/s

@whitequark@mastodon.social
2025-10-15 19:31:13

"use the cool SaaS" they said.
"it will be fast & migrate data to the point of frequent use" they said.
(the data being retrieved is like 2 kB)

@datascience@genomic.social
2025-12-15 11:00:00

Add richer tooltips to ggiraph with kableExtra and friends: #dataviz

@arXiv_csSE_bot@mastoxiv.page
2025-10-15 08:32:42

Task-Aware Reduction for Scalable LLM-Database Systems
Marcus Emmanuel Barnes, Taher A. Ghaleb, Safwat Hassan
arxiv.org/abs/2510.11813 arxi…

@arXiv_csCY_bot@mastoxiv.page
2025-09-16 09:04:57

National Running Club Database: Assessing Collegiate Club Athletes' Cross Country Race Results
Jonathan A. Karr Jr, Ben Darden, Nicholas Pell, Ryan M. Fryer, Kayla Ambrose, Evan Hall, Ramzi K. Bualuan, Nitesh V. Chawla
arxiv.org/abs/2509.10600

@netzschleuder@social.skewed.de
2025-10-15 21:00:04

montreal: Montreal street gangs (2007)
Network representing relationships between gangs, obtained from Montreal Police’s central intelligence database, spanning 2004 to 2007. Nodes are gangs, and an edge represents some kind of relationship between two gangs (as elicited from interviews with gang members).
This network has 35 nodes and 78 edges.
Tags: Social, Affiliation, Unweighted

montreal: Montreal street gangs (2007). 35 nodes, 78 edges. https://networks.skewed.de/net/montreal
@fanf@mendeddrum.org
2025-10-15 11:42:03

from my link log —
pglinter: database linting and analysis for PostgreSQL.
pglinter.readthedocs.io/en/lat
saved 2025-10-14

@datascience@genomic.social
2025-10-15 10:00:01

{ggrain}: Raincloud plots for ggplot2: #rstats #dataviz