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.
With CrateDB and the Crate IoT Data Platform, you can get functionalities of both time series databases and operational historians.
The most resilient version yet. CrateDB 4.0.2 supports more SQL than ever, interoperates with even more PostgreSQL tools, and offers new options for working with time series data. In addition, the user interface is slimmer and cleaner than before.
This step-by-step tutorial shows you how to get started with CrateDB and Apache Superset, a BI tool for easily organize your data.
Get started with JasperReports Server and CrateDB. Together, they provide a powerful end-to-end platform for real-time business intelligence.
Some of the highlights from the J on the Beach 2019. With talk videos, some personal reflection, and links to further reading.
Earlier this month Crate.io was named a "cool vendor" in the Gartner 2019 Cool Vendors in Manufacturing Operations report.
Pair CrateDB with Grafana 6.x, an open-source platform for data visualization. Perfect for working with time-series data.
This tutorial shows you how to get started with CrateDB and DBeaver, a free, open-source tool for developers and database administrators.
Read the perspective of the co-founder of Crate.io with respect to open-source licensing, its values, and how to make it work as a company.