Uber's Move Away from PostgreSQL
Last week, a blog post by an Uber engineer explained why Uber chose to move from PostgreSQL to MySQL . This article was widely reported and...
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The most popular blog posts about databases & data on Hacker News. 4,224 posts.
Last week, a blog post by an Uber engineer explained why Uber chose to move from PostgreSQL to MySQL . This article was widely reported and...
I recently had to set up a new postgres instance at work. While we’re already using Heroku Postgres for production loads, we had some requirements for this one that couldn’t be solved without being database admin, and thus had to go self-hosted. That...
The query optimizer is an important part of any analytical database system as it provides considerable performance improvements compared to hand-optimized queries, even as the state of your data changes.
MySQL and MongoDB are both popular, yet poor representatives of their species
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Late last year I told you about our plans to add PostgreSQL compatibility to Amazon Aurora. We launched the private beta shortly after that announcement, and followed it up earlier this year with an open preview. We’ve received lots of great feedback during the beta and the preview and have done our best to make […]
For a company like Slack that strives to be as data-driven as possible, understanding how our users use our product is essential. The Data Engineering team at Slack works to provide an ecosystem to help people in the company quickly and easily answer questions about usage, so they can make better and data informed…
Deepening watsonx capabilities to address enterprise gen AI data needs with DataStax.
As the volume and complexity of your data processing pipelines increase, you can simplify the overall process by decomposing it into a series of smaller tasks and coordinate the execution of these tasks as part of a workflow. To do so, many developers and data engineers use Apache Airflow, a platform created by the…
Today, PlanetScale launched support for foreign key constraints. This article covers some of the behind-the-scenes technical challenges we had to overcome to support them.
I built a new plugin for my sqlite-utils CLI tool that lets you ask human-language questions directly of SQLite databases and CSV/JSON files on your computer. It’s called sqlite-utils-ask. Here’s …
ggplot2 2.0.0: official extension mechanism, new geoms (geom_count, geom_curve, geom_label), appearance tweaks, and facet labels.
ไลฟ์สไตล์ ธุรกิจ กีฬา ไอที บันเทิง แม่และเด็ก ความรู้รอบตัว รถยนต์ สัตว์เลี้ยง อสังหาริมทรัพย์ กิน-เที่ยว การเงินและการลงทุน สุขภาพ การศึกษา บ้านและสวน
One Machine Learning algorithm that relies on the concepts of proximity and similarity is K-Nearest Neighbor (KNN). KNN is a supervised learning algorithm capable of performing both classification and regression tasks.
Redpanda powers an Agentic Data Plane and Data Streaming platform for real-time performance, AI innovation, and simplified operations.
Twenty years ago, UC Berkeley Associate Statistics Professor Fernando Pérez started one of the foundational tools for analyzing large amounts of data in a transparent and collaborative way. We spoke with Pérez about why he started this project, what challenges he’s faced and what to expect from him and Project Jupyter…
Today, we’re happy to announce RethinkDB 1.11 ( Breakfast at Tiffany’s ), which improves the experience of operating live RethinkDB deployments. Download it now!
IT blog about developing and managing enterprise-level software solutions for blockchain, fintech, transportation & logistics, security, edtech, and advertising industries.
An interesting challenge in cartography is getting data of the appropriate resolution. As Lewis Fry Richardson observed , the more precisely you measure the length of a coastline, the longer it appears; geographic shapes have infinite complexity. Digital displays, in contrast, are limited by pixels. Choosing too high…
This is Jessica. In my Prediction for Decision-making class last quarter we talked about human predictions and decisions relative to algorithmic ones. This led to a discussion about why it’s often hard to demonstrate the value of human knowledge once you have a decent statistical model.
This post shows how to process gigabytes of unstructured data with the Spark framework and using the R language.