CrateDB, Machine Learning, and Hydroelectric Power: Part Two
A real-life example of applied machine learning to prevent critical events in a hydroelectric power plant. Part two of the series.
A real-life example of applied machine learning to prevent critical events in a hydroelectric power plant. Part two of the series.
How to use CrateDB and Grafana to create scalable and fast dashboards.
Crate is regularly updated, so we don't normally write a blog post for each release, but our forthcoming 0.55 release is so chock-full of features that we felt it deserved something special.
An interview with Jodok Batlogg from Crate.io by Jeff Meyerson on Software Engineering Daily.
Investors in next generation SQL database are Dawn Capital, Sunstone Capital, Draper Esprit, Speedinvest, and Solomon Hykes, creator and CTO of Docker.
Once a year the Crate community interprets the 'sprint' concept in a different way. We lock ourselves in a lodge in the Austrian Alps for a week of coding, cooking and skiing.
Another great project from Snow Sprint, Cr8, a selection of utility scripts for working with Crate clusters.
Every once in a year it is getting quiet in the Crate Offices in Dornbirn and Berlin, when all the people are gathering somewhere in the mountains. It's SnowSprint time.
A blog post about my experiments importing 236 million rows of data of the german weather service, DWD, into Crate.
How you get started running CrateDB on Linux and Windows with Azure.