How to add Weather Data to your MicroStrategy project

There are several options available to add historical weather data sets as well as weather forecast or typical weather. Directly from a Visual Crossing Map as a layer, as dynamic cube or directly into your RDBMS data warehouse. This tutorial provides step by step instructions for the first two options. For the direct load into …

How to add weather data to a Node.js app using a Weather API and JavaScript

In this article we are going to create a simple web app that displays weather data using the Visual Crossing Timeline Weather API. The output will be a simple HTML page that displays daily and hourly weather history data or weather forecast data (or even beyond) in a table. To download the source code for …

How to create a Raspberry PI frost alert using a weather api

In this tutorial we will create a simple frost alert using a Raspberry PI and the Visual Crossing Timeline Weather API. The aim of the simple circuit is to use colored LED lights to inform the user if frost or low temperatures are expected. A red light indicates below freezing temperatures are expected, yellow light …

Comparing the Visual Crossing Pricing Options to Dark Sky

As you already know, Dark Sky has announced that it is ending its popular weather query API service soon. We’ve already written multiple articles explaining the benefits and details of converting your app or webpage to the Visual Crossing Weather API. In this article, we will compare the pricing models of the two services. Specifically, …

How to load weather data into Information Builders ibi WebFOCUS using the REST API

This article shows the necessary steps to quickly and easily load weather forecast data for any location of the world into the cloud solution ‘Information Builders ibi WebFOCUS’ for further analysis.  The tutorial shows step-by-step how to construct the query in the Visual Crossing Weather web interface, how to access the automatically generated connection string …

How to load historical weather data into any database

Many business intelligence, data science, and academic research projects need high quality historical weather data to be available in a database. Weather data is typically quite large in volume, and its analysis often requires processing thousands or even millions of detailed records in order to find valuable patterns and apply them to the task at …