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Microsoft Fabric
The Unified Data Platform.

Microsoft Fabric unifies Power BI, Data Factory and the next generation of Azure Synapse Analytics into a SaaS platform to democratize data and AI across organisations.

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Microsoft Fabric: Adopt, Trial, Assess, Hold?

Azure Radar

Read our high-level Azure Radar assessment of Microsoft Fabric; its pros & cons, how it differs from Azure Synapse, and why we classify it as "assess".

Perspectives on Microsoft Fabric

We've been on the private preview for Microsoft Fabric since late 2022, and have put the platform through its paces using real-world data and scenarios. In this 20 minute chat, Microsoft MVP Ian Griffiths interviews Barry Smart, Director of Data & AI, and Ed Freeman, Senior Data Engineer, about their experiences of this new unified data platform.

A Tour Around Microsoft Fabric

In this video, Senior Data Engineer Ed Freeman takes a tour around Microsoft Fabric, highlighting OneLake, and the Synapse Data Engineering and Synapse Data Science experiences.

Lakehouse & Medallion Architecture

In the 1st part of an end to end demo in Fabric, Ed Freeman looks at Lakehouse & Medallion Architecture

Inspecting 28 MILLION row dataset in Bronze Lakehouse

In the 2nd part of an end to end demo in Fabric, Ed Freeman looks at the 5GB dataset we're going to use.

Read our Microsoft Fabric blogs

View all Microsoft Fabric posts (18)

Endjin were involved in the Microsoft Fabric Private Preview and have been using the platform since late 2022. We've been recording all our thoughts and opinions so that we could share them as soon as it was announced publicly.

Working locally with spark dev containers

Working locally with spark dev containers

Ian Griffiths

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.
Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Next Steps)

Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Next Steps)

James Broome

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.
Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Pipeline Definition)

Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Pipeline Definition)

James Broome

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.
Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Architecture Overview)

Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Architecture Overview)

James Broome

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.
Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Introduction)

Carbon Optimised Data Pipelines - minimise CO2 emissions through intelligent scheduling (Introduction)

James Broome

Intelligently scheduling cloud data pipelines based on carbon impact can optimize both environmental sustainability and operational efficiency.
Per-Property Rows from JSON in Spark on Microsoft Fabric

Per-Property Rows from JSON in Spark on Microsoft Fabric

Ian Griffiths

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.