The latest blog posts to take off on Hacker News. 272 posts.
You may have heard about Bandersnatch , an interactive film released on Netflix as part of the Black Mirror series. I’ve heard about it when it was released, but didn’t get around to watch it until recently, and I was surprised at how deep and thorough the implementation is. The film consists of:
How to combine data spread over two CSV files, like separate tables in a normalized relational database.
I’m a stock market enthusiast 📈, so lately I have spent my spare time on the topic of stock option pricing, and I was curious to find out whether or not I could build a script that accurately reflected real market option prices. It turns out I came close, and learned a lot along the way, which I share in this article.
Estimating expected time of arrival (ETA) is crucial to what we do at Lyft. Estimates go directly to riders and drivers using our apps, as…
TiDB is the distributed SQL database built for AI agents. Vectors, transactions, and analytics in one engine with ACID guarantees and elastic scale.
In software, you frequently need to check whether some objects is in a set. For example, you might have a list of forbidden Web addresses. As someone enters a new Web address, you may want to check whether it is part of your black list. Or maybe you have a large list of already used … Continue reading Xor Filters…
The cover image is based on Jupiter family by NASA/JPL.
We explore how databases be used as effective Pub/Subs in Go, demonstrating how SQL's unique features can enhance message-driven applications.
What is a predictive database? A database that lets you query predictions from structured tabular data with no model training step. Learn how predictive databases work, when to use them, and how they compare to traditional ML.
The Eventide Project team is excited to announce Message DB: A fully-featured event store and message store implemented in PostgreSQL for pub/sub, event sourcing, and evented microservices applicat...
The 2020 Cloud Report compares AWS, GCP, and Azure on microbenchmarks and customer-like-workloads to understand performance tradeoffs within each cloud.
A comparison of ideas behind Dynamo and Cassandra
Did you ever imagine that an “Ice Cream” could shake the entire General Motors? In 2010, the Pontiac Division of General Motors received a very funny complaint from one of its customers. It was so weird & bizarre that it took the entire General Motors by storm. However, on reading the entire Case, this definitely
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
I think it is safe to state that hash tables (e.g. maps in Go, dicts in Python, HashMap in Java, etc.) are far more common than ordered data structures such as trees for in-memory data structures. One data point is that in a talk about C++ hash table optimization at Google ( available in Abseil ), the speaker noted…
30% less disk required compared to using the single best strategy
In this post I'm going to show you a simple way to significantly speedup Python numpy compute performance on AMD CPU's when using Anaconda Python.
Optimizing memory-usage for approximate nearest neighbor search
This paper is by Abutalib Aghayev (Carnegie Mellon University), Sage Weil (Red Hat Inc.), Michael Kuchnik (Carnegie Mellon University), Mar...
Yes, I know, it’s a long text, and it was my conscious decision to write it in this way. But fear not! Imagine that you read a book, take a look at the introduction and first few interesting sections, think about it and then find time to read further. I hope I’ve left enough references, so if you don’t get some ideas…
My problem is not just with the methods—although I do have problems with the method—but also with the ideology.
Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large…
Get to know and learn how to use some less-known features of Version 12 of PostgreSQL. You'll surely discover something new for yourself.
Mergeable replicated data types Kaki et al., OOPSLA’19 This paper was published at OOPSLA, but perhaps it’s amongst the distributed systems community that I expect there to be the greatest in…
