Today, I would like to write a few words about schema enforcement and schema evolution in Delta Lake. Both concepts are quite crucial if we want to implement lakehouse solutions in Microsoft Fabric, Databricks, or any other tools that work with Delta Lake. Before we delve deeper into the details, let’s briefly explain our topic […]
Author: Adrian Chodkowski
Connect Power BI and Spark notebooks with Microsoft Fabric Semantic Link
One of the most exciting pieces of news that has emerged in recent days is the availability of the Semantic Link feature in Microsoft Fabric. What exactly is it, and what makes it so thrilling? Let’s delve into it. The Semantic Link feature empowers you to establish a connection between Power BI datasets and Synapse […]
Loading Files with Spark Structured Streaming in Microsoft Fabric
The concept of a lakehouse typically relies on the loading of raw data in native formats such as JSON, Parquet, Avro, etc., into the Delta format. A similar procedure is observed in Microsoft Fabric, where our initial task involves extracting files from source systems (utilizing tools such as Data Factory) and placing them in the […]
Six common mistakes made by Power BI developers
Power BI is a great platform that helps companies understand their data. However, it’s easy to make mistakes when using it. In this article, I will show six common mistakes made by Power BI developers, and most importantly, how to avoid them. Let’s get started! Skipping Documentation and Code Comments Alright, folks, here’s a mistake […]