CrateDB, Machine Learning, and Hydroelectric Power: Part Two
2019-08-16
We go into some technical details of the VKW proof-of-concept and show you how to use Python to construct a machine learning model that can be used to predict events.
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Machine Learning and CrateDB, Part Three: Experiment Design & Linear Regression
2019-02-13
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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Machine Learning and CrateDB, Part Two: Getting Started With Jupyter
2018-12-04
In part two of this miniseries, learn how to get started with machine learning using Python and Jupyter Notebook.
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Machine Learning and CrateDB, Part One
2018-10-19
Part one of a miniseries that introduces you to the fundamentals of machine learning and shows you how to get started with some hands-on coding.
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On Writing Beautiful Tests
2018-08-30
Testing and thinking about modes of failure as you design code will help you to write more robust software, which is, in turn, easier to maintain. It also makes your code easier to refactor and easier to modify.
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When is a SQL Subquery 260x Faster than a Left Join?
2017-08-17
Learn why SQL subquery performance was 260x faster than a left join when querying 4.6 millions rows of ecommerce cross-sell data in a CrateDB database.
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Berlin and Geo Shapes in CrateDB
2015-12-10
In our last blogpost about Crate's spatial and geographic features we announced the support for the geo_point data type and related operations. Since that post, we have greatly improved our geographic features...
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Analyzing Germany’s weather with Crate.io
2015-09-02
A blog post about my experiments importing 236 million rows of data of the german weather service, DWD, into Crate.
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