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The most popular blog posts about databases & data on Hacker News. 4,224 posts.
We created AcousticBrainz 7 years ago and started to collect data with the goal of using that data down the road once we had collected enough. We finally got around to doing this recenty, and realised that the data simply isn’t of high enough quality to be useful for much at all.
About six months back, I wrote a post on how to use views in Postgres to encapsulate tables and create a versioned interface to a database. At the end of the…
Want to know more about a tool in our web archiving toolbox? Your suggestions or questions for future posts about Archive-It technology are very welcome here .
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturi...
We discuss what N+1 queries are, how they are easily produced in GraphQL, and how to solve them using the graphql-batch gem along with a few custom batch loaders.
A gentle introduction to Bayesian statistics for data scientists who, like me, are confused by it.
Web Scraping to Create Open Data - Embrace the power of web scraping in generating open data. Contribute to the open data movement.
Discover systematic strategies to enhance your Retrieval-Augmented Generation (RAG) systems for better performance and user experience.
In August, I set out to improve the machine learning ecosystem for Ruby and wasn’t sure where it would go. Over the next 5 months, I ended up...
We show you best practices, workflows, and tools to solve all Jupyter Notebooks <--> Git challenges.
I always thought of 1+N as a thing that you just keep in your head, catch on code reviews or via performance regressions. This worked well for a long …
Learn how to train LLM for accurate answers with VectorSQL which allows you to execute finely-grained vector searches to target and retrieve the required information
Data modeling is hard. Here are some missteps to avoid when you're developing your models.
I am thrilled to announce Nile, a serverless Postgres database designed for modern SaaS applications.
I’ve spent the last few months preparing for and applying for data science jobs. It’s possible the data science world may reject me and my lack of both experience and a credential above…
We analyzed 1.8 million Hacker News headlines spanning February 2007 to June 2025 to examine database engine popularity trends. Using camelAI connected to a ClickHouse database, we uncovered which databases the HN...
Nowadays Python is probably the programming language of choice (besides R) for data scientists for prototyping, visualization, and running data analyses on small and medium sized data sets. And...
Reddit.com is a popular social media and news aggregation site. Here I analyze over 80 million comments by 200K redditors to discover what topics interest them.
By Navneet Joneja, Product Manager for Google Cloud SQL Cross-posted from the Google App Engine Blog One of App Engine’s most requested...
An in-depth guide to listening to Postgres database changes through the WAL. Covers logical replication, publications, replication slots, and an Elixir implementation.
