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5 Myths About Relational Databases, Time Series Data, and Operational Historians

5 Myths About Relational Databases, Time Series Data, and Operational Historians

You don't have to choose between operational historians or a time-series database for industrial IoT. There's a third option.

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CrateDB, Machine Learning, and Hydroelectric Power: Part Two

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.

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Use CrateDB and Apache Superset for Open Source Data Warehousing and Data Visualization

Use CrateDB and Apache Superset for Open Source Data Warehousing and Data Visualization

This step-by-step tutorial shows you how to get started with CrateDB and Apache Superset, a BI tool for easily organize your data.

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Trip Report: J on the Beach, 2019

Trip Report: J on the Beach, 2019

Some of the highlights from the J on the Beach 2019. With talk videos, some personal reflection, and links to further reading.

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Crate.io Named

Crate.io Named "Cool Vendor" by Gartner

Earlier this month Crate.io was named a "cool vendor" in the Gartner 2019 Cool Vendors in Manufacturing Operations report.

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CrateDB 3.3 Is Now Stable and Ready for Use

CrateDB 3.3 Is Now Stable and Ready for Use

CrateDB Enterprise can now be run for free for cluster up to three nodes, the Community Edition needs to be built by users themselves. Besides, there are more Window Functions, SQL Features, Postgres Compatibility and Monitoring, and Administration features.

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Supercharge your Azure IoT and Time-Series Data Applications

Supercharge your Azure IoT and Time-Series Data Applications

We explain how CrateDB fits into the Azure IoT ecosystem and how it can be used to supercharge your Azure tech stack.

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Doing Data Science for the Common Good

Doing Data Science for the Common Good

In this post, I will introduce you to the idea of doing data science for the common good and hopefully give you a few ideas about how you can get started.

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CrateDB, Machine Learning, and Hydroelectric Power: Part One

CrateDB, Machine Learning, and Hydroelectric Power: Part One

An overview of a proof-of-concept we have been working on with Craftworks to deliver business intelligence for one of Illwerke VKW's key hydroelectric power plants.

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Machine Learning and CrateDB, Part Three: Experiment Design & Linear Regression

Machine Learning and CrateDB, Part Three: Experiment Design & Linear Regression

In the third part of this miniseries, I show you how to predict the number of Twitter followers a user has using regression analysis.

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