Perhaps I’m somewhat late to the party, however, last Saturday I found something that really helps me as a data engineer working with Microsoft Fabric. Because the most annoying thing ever is having a Spark session in your notebook, going for a lunch walk, then coming back to a timed out session having to start …
When you’re using PySpark notebooks in Microsoft Fabric data engineering, you can develop straight from the web browser. While that is interesting, a browser is usually not the most perfect software development environment. In this article I will show you how you can use VS Code Notebooks to develop for Microsoft Fabric. Why Use VS …
Introduction to Delta Lake Liquid Clustering As your Delta tables grow in size, the need for performance tuning in Microsoft Fabric becomes essential. In this post, I’ll explore two powerful optimisation techniques — Delta Lake Partitioning and Liquid Clustering. Both can help improve query speed and reduce costs, but they work in very different ways. …
When managing large-scale data lakes with Microsoft Fabric, performance optimisation becomes crucial. One effective technique to achieve better performance is Delta Lake partitioning. Partitioning can significantly enhance query performance, reduce computational costs, and improve data management efficiency within Microsoft Fabric environments. In this blog post, we will explore what Delta Lake partitioning is, how it …
When we start implementing a data lake using Microsoft Fabric, we might be tempted to start creating pipelines and notebooks right away, without thinking about design principles. However, there’s one design principle I’d like you to consider from the beginning: DRY. DRY is an acronym that stands for Don’t Repeat Yourself. In this blog post, …
Coming from the ‘old school’ world of SSIS and SQL Server, and later Azure Data Factory and Azure SQL Database, I have always built my ETL orchestration processes using some kind of pipelines. In Fabric, we also have pipelines (the successor of ADF), but, we can now also create notebook orchestration using NotebookUtils and runMultiple(). …
In Microsoft Fabric data engineering, we use Spark to apply transformations to our data. Just like you would write T-SQL to transform data in SQL Server, you would write PySpark or SparkSQL to transform data in a Fabric lakehouse. There are a lot of parallels between Spark en SQL in the way you can process …