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.
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.
Infrastructure as Code, Part Three: Configuration With Salt
In part three of this Infrastructure as Code (IaC) series, I will introduce you to Salt and show you can use it to decompose your infrastructure setup...
Machine Learning and CrateDB, Part Two: Getting Started With Jupyter
In part two of this miniseries, learn how to get started with machine learning using CrateDB and Jupyter Notebook.
Use Power BI With CrateDB for End-to-End Data Warehousing and Business Intelligence
This step-by-step tutorial shows you how to get started with Power BI and CrateDB to easily create reports and dashboards.
Infrastructure as Code, Part Two: A Closer Look at Terraform
In part two of this IaC miniseries, I will tell you more about Terraform and provide examples from our own setup at Crate.io.
Machine Learning and CrateDB, Part One
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.
CrateDB 3.1 (Stable) Available Now
CrateDB 3.1 (stable) has been released and is now faster and easier to use than ever. Here's a quick tour of the highlights.
Infrastructure as Code, Part One
IaC uses code to provision, configure, and manage infrastructure. In part one of this IaC miniseries, I will introduce you to the basic concepts and explain some of the benefits.
On Writing Beautiful Tests
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.