Spark notebooks, data quality, JSON handling, and pipeline automation — hands-on engineering with Microsoft Fabric.
Engineering & Pipelines
Top Features of Notebooks in Microsoft Fabric
Discover the top key features of notebooks in Microsoft Fabric.
Per-Property Rows from JSON in Spark on Microsoft Fabric
Spark doesn't always interpret JSON how we'd like. For example, if each key/value pair in a JSON object is conceptually one item, Spark won't give you a row per item by default. This article shows how to nudge Spark in the right direction.
Building data quality into Microsoft Fabric
Data quality issues are one of the biggest silent killers of analytics initiatives. This post explores how to build data quality into Microsoft Fabric from the ground up.
Reliably refreshing a Semantic Model from Microsoft Fabric Pipelines
This post describes a pattern for reliably refreshing Power BI semantic models from Microsoft Fabric Pipelines.