Microsoft Fabric

Running Spark locally in a dev container can significantly improve development feedback loops. This first article explains why, and the rest of the series will show how.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.

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.

The first step on the road to implementing observability in your Python notebooks is basic logging. In this post, we look at how you can use Python's built in logging inside a Synapse notebook.

Ralph Kimble's 1996 Star Schema principles still apply in Cloud Native Analytics.

In this post I describe how adopting a product mindset will help you to extract maximum value from Microsoft Fabric.

Explore building situational awareness and leveraging strategic opportunities with Microsoft Fabric in this concise overview.

Explore Microsoft Fabric, inspired by Data Mesh, for a data-driven strategy. Learn to approach a Data Mesh vision using this powerful tool.

Explore Data Mesh's influence on Microsoft Fabric, addressing gaps in data product marketplace, standards, master data management, and governance.

Creating a successful organisation-wide data and analytics platform isn't just about architecture, schemas and semantic models. It's also about culture, organisational design and people. This blog explores the socio-technical nature of data and analytics and how this should influence your approach to adoption of Microsoft Fabric.

Explore AI-powered self-service reporting with tools like Copilot in Power BI and Microsoft Fabric, balancing benefits and pitfalls.

Microsoft Fabric unifies Power BI, Data Factory & Data Lake on Synapse infrastructure, reducing cost & time while enabling citizen data science.

Explore OneLake, Microsoft Fabric's core storage for data in Azure & other clouds. Discover its role in Fabric workloads, the OneDrive equivalent for data storage.

In this Microsoft Fabric vs Synapse comparison we examine how features map from Azure Synapse to Fabric.

Microsoft Fabric unifies data & analytics, building on Azure Synapse Analytics for improved data-level interoperability. Explore its offerings & pros/cons.