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Databases & Data

The most popular blog posts about databases & data on Hacker News. 2,337 posts.

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1173

Lower Cost S3 Storage Option and Glacier Price Reduction

Like all AWS services, the Amazon S3 team is always listening to customers in order to better understand their needs. After studying a lot of feedback and doing some analysis on access patterns over time, the team saw an opportunity to provide a new storage option that would be well-suited to data that is accessed […]

1179

Footguns with Postgres “at time zone 'UTC'”

And why you may need to repeat AT TIME ZONE 'UTC' twice. SUMMARY * AT TIME ZONE 'UTC' converts the data type from timestamptz to timestamp (example). * Now you are inadvertently using the timestamp without time zone (aka timestamp) data type, which is markedly discouraged. * There are tons of footguns with timestamp…

1185

Debunking Misleading Benchmarks Of Redshift vs BigQuery

Publishing misleading performance benchmarks is a classic old guard marketing tactic. It’s not surprising to see old guard companies (like Oracle) doing this, but we were kind of surprised to see Google take this approach, too. So, when Google presented their BigQuery vs. Amazon Redshift benchmark results at a private…

1189

NumPy 1.20

This NumPy release is the largest so made to date, some 684 PRs contributed by 184 people have been merged. See the list of highlights below for more details. The Python versions supported for this release are 3.7-3.9, support for Python 3.6 has been dropped. Highlights are

1191

SQLite Begin Concurrent

Usually, SQLite allows at most one writer to proceed concurrently. The BEGIN CONCURRENT enhancement allows multiple writers to process write transactions simultanously if the database is in "wal" or "wal2" mode, although the system still serializes COMMIT commands.

1192

NanoGPT Slowrun: 10x Data Efficiency with Infinite Compute

We've achieved 10x data efficiency with NanoGPT Slowrun within a few weeks. An ensemble of 1.8B parameter models (18B total params) trained on 100M tokens matches what would normally require 1B tokens with a standard LM baseline. Data efficiency matters because compute grows much faster than data . Since our current…