How to load, process and visualize weather data from OpenWeather in the Databricks Lakehouse

How to load, process and visualize weather data from OpenWeather in the Databricks Lakehouse

In this HowTo I will show you how to load weather data from the OpenWeather API into the Databricks Lakehouse. The data is loaded via REST API from OpenWeather and then processed in the Medallion architecture in the Lakehouse. Finally, I build a simple Lakeview dashboard on top of it.

How to create an Azure Databricks Lakehouse including Unity Catalog, DataLake and KeyVault – step by step

How to create an Azure Databricks Lakehouse including Unity Catalog, DataLake and KeyVault – step by step

In this step-by-step guide, I describe how to create a Databricks Lakehouse environment in the Azure Cloud within 30 minutes. This guide is aimed at people who are new to Databricks and want to create an environment for a proof of concept or for practicing.

First steps with the Azure Cloud

First steps with the Azure Cloud

Azure is Microsoft’s cloud computing platform. It offers a comprehensive suite of cloud services that enable companies to develop, deploy and manage applications without having to have physical hardware on site. Azure enables users to use resources such as virtual machines, storage, databases, networks and much more in Microsoft’s globally distributed data centers. The Azure Cloud is one of the leading hyper-scalers on the market. In the following article, I would like to give beginners a few useful tips to make it easier to get started with the Azure portal.