data
TypeSchema is a JSON specification to describe data models in a programming language neutral format.
A comprehensive guide to CRDTs and their tradeoffs, from counters to sequences. Written in the spirit of the Typeclassopedia, exploring how different CRDTs solve the distributed consensus puzzle.
data engineering book. Contribute to datascale-ai/data_engineering_book development by creating an account on GitHub.
The Data Visualisation Catalogue, helping you find the right data visualization method for your data
Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package. - TomWright/dasel
For those who code
AWS has released a new whitepaper that has been requested by many AWS customers: AWS Policy Perspectives: Data Residency. Data residency is the requirement that all customer content processed and stored in an IT system must remain within a specific country’s borders, and it is one of the foremost concerns of governments that want to […]
Almost a decade ago, my colleague Deepak Singh introduced the AWS Public Datasets in his post Paging Researchers, Analysts, and Developers. I’m happy to report that Deepak is still an important part of the AWS team and that the Public Datasets program is still going strong! Today we are announcing a new take on open […]
The Australian Securities Directorate (ASD), in collaboration with international partners, has come with new advice on best practices for securing data throughout the artificial intelligence (AI) and machine learning (ML) system lifecycle.
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data
Apps often demand excessive permissions, accessing your contacts, location, and more. Discover why sticking to your browser offers better privacy and control.
Turn your desk into a command center with this 3D-printed ESP32 terminal that displays the weather, time, date, and more.
Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.
After a decade in observability, I kept bumping into one question no vendor would answer: how much of your data is waste?