An introduction to Machine Learning
2020-07-30
This guide will introduce you to the basics of Machine Learning. If you are ready to dive deeper, check out the tutorials linked at the end.
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Digital transformation to optimize efficiency in the factory floor: the future of manufacturing
2020-07-22
In the framework of the 2020 Microsoft Manufacturing Envision Forum: Manufacturing, we had the opportunity to discuss how manufacturers are addressing innovation in their factories. Clearly, the future resides in the digital transformation of the industry.
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New partner on board: welcome roosi
2020-07-21
We are happy to announce that Crate.io is starting a cooperation with the data intelligence consulting company roosi, further expanding the options for conducting industrial IoT projects in the DACH region.
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CrateDB 4.2 is now stable and ready for use
2020-07-21
In brief: CrateDB 4.2 now embeds in architectures better than ever. Once again, a lot of SQL functionality has been added to work seamlessly in industrial IoT environments.
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Comparing databases for an Industrial IoT use-case: MongoDB, TimescaleDB, InfluxDB and CrateDB
2020-07-13
We compared how MongoDB, TimescaleDB, InfluxDB, and CrateDB perform for an industrial IoT use-case. We talk about our experience in this blog post.
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How to generate and ingest sensor data using Azure IoT Hub and CrateDB Cloud
2020-06-24
This tutorial shows you how to integrate CrateDB Cloud and Azure IoT Hub, generating sensor data using the Azure Device Simulation.
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Terminology for database beginners: making sense of databases
2020-06-17
New to databases? If you are a non-technical person or somebody who is just starting, this blog post will introduce you to some essential concepts.
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How to set up a CrateDB cluster with Kubernetes
2020-06-10
Setting up a CrateDB cluster with Kubernetes can be done in just a few steps, and scaling up and down is straightforward. We tell you how in this tutorial.
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The unexploited power of industrial time-series data
2020-06-02
Manufacturers already have what they need to achieve digitalization: it's their time-series data. The key resides in accessing that information effectively.
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Why IIoT projects are failing?
2020-05-11
The adoption of Industry 4.0 practices implies huge advantages for manufacturers... But to fully implement industrial IoT practices is being challenging for many industries. Why?
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