An introduction to Machine Learning
This Machine Learning guide teaches you to the basic concepts you need to know before digging deeper. More advanced tutorials included at the end.
Digital transformation to optimize efficiency in the factory floor: the future of manufacturing
Digital transformation is the key to stay competitive in the industrial sector. Find out how the industry 4.0 leaders are finding success.
CrateDB 4.2 is now stable and ready for use
A lot of SQL functionality has been added to make CrateDB 4.2 work seamlessly in industrial IoT environments. Now available in Azure and AWS.
New partner on board: welcome roosi
Crate.io is starting a cooperation with the data intelligence consulting company roosi, expanding the market options for IIoT projects in the DACH region.
Comparing MongoDB, TimescaleDB, InfluxDB, and CrateDB for an IIoT Use-case
In this blog post, we compare how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case.
Terminology for database beginners: making sense of databases
New to databases? This glossary will help you understand some useful terminology for database beginners, as SQL, consistency, scalability or ACID.
How to set up a CrateDB cluster with Kubernetes
Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward.
The unexploited power of industrial time-series data
Manufacturers already have what they need to achieve digitalization: it's their time-series data. The key resides in accessing that information effectively.
Why are IIoT projects failing?
The industrial IoT implies huge advantages for manufacturers. However, to fully implement IIoT projects is being challenging for many industries.
New partner on board: welcome M&M
Together with M&M Software, we will further advance in our goals: to provide the digital infrastructure the manufacturing industry needs.