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The most popular blog posts about databases & data on Hacker News. 371 posts.
PostgreSQL, a powerful open-source object-relational database system, has been lauded for its robustness, functionality, and flexibility. However, it is not without its challenges – one of which is the notorious VACUUM process. However, the dawn of a new era is upon us with OrioleDB, a novel engine designed for…
As mentioned on previous posts, I have spent the past few weeks dealing with a ZFS crash on my FreeNAS install. Because of that, not only was I forced to learn how to troubleshoot ZFS, but I also had to learn how to setup new volumes and come up with new backup strategies (between a few other things).
Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.
Chances are you probably had a strong reaction to the title of this post. In our experience, Kafka is one of the most polarizing technologies in the data space. Some people hate it, some people swear by it, but almost every technology company uses it.
Significance of Apple's support for JPEG XL and what this means for the widespread adoption of this next-generation image compression format.
How we upgraded from Postgres 11.9 to 15.3 with zero downtime
The recent paper, “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors by Jiang et al. [ link ] recently received a lot of attention on twitter.
Hey HackerNews, let me just drop my mixtape, checkout my soundcloud and “Death Row” is the label that pays me. How is the Graph Database category supposed to grow when vendors keep spou…
I really enjoyed reading Algorithmic Trading: A Practitioner’s Guide by Jeffrey M. Bacidore. Before starting, I imagined it would cover various strategies for trading in the markets, along th…
Text editors can be an interesting challenge to program. The types of problems that text editors need to solve can range from trivial to mind-bogglingly difficult. Recently, I have been on something of a spiritual journey to rework some internal data structures in an editor I have been building, specifically the most…
Andy Pavlo - Carnegie Mellon University,
MySQL needs little introduction. Over the last 28 years it has become one of the most widely deployed SQL databases. MySQL is primarily used for online transaction processing (OLTP) workloads, but is also deployed as a part of OLAP and queuing systems.
Use R to get geocoded location and routing data from OpenStreetMap and explore our family’s impending 5,000 mile road trip around the USA
A rule-based data query language that thinks differently
Introducing River, a Postgres-based job queue designed for resilience and correctness through strong transactional guarantees.
Where you store your application data has enormous impacts on your entire application. There are implications on the entire stack based on what you decide to...
Discover new ways to optimize database performance and avoid common mistakes that impact latency and throughput.
Note : This post stirred up some interesting discussions on HackerNews and Lobste.rs .
Learn what database sharding is, how sharding works, and some common sharding frameworks and tools.
Richard Rosenfeld in the most recent Criminologist published a piece about forecasting national level crime rates. People complain about the FBI releasing crime stats a year late, academics are wor…
Seriously, I don't. I'd prefer SQL.
Two phase locking (2PL) was the first of the general-purpose Concurrency Controls to be invented which provided Serializability. In fact, 2P...
We are excited to ship the first version of pgroll, a command line tool that offers safe and reversible schema migrations for PostgreSQL
This paper appeared in VLDB'17. The paper presents NAM-DB, a scalable distributed database system that uses RDMA (mostly 1-way RDMA) and a ...
A recent study from MIT, Harvard, The University of Monterrey, and other top institutions showed an experiment where 91% of their ML models degrade over time . This study is one of the first of its kind, where researchers focus on studying machine learning models' behavior after deployment and how their performance…
