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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 (10)

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.

Adopt A Product Mindset To Maximise Value From Microsoft Fabric

Adopt A Product Mindset To Maximise Value From Microsoft Fabric

Barry Smart

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

Exploring Strategies Enabled By Microsoft Fabric

Barry Smart

In this post I provide an overview of how to build situational awareness and to use that to understand the strategic opportunities that are enabled by Microsoft Fabric.
Developing a Data Mesh Inspired Vision Using Microsoft Fabric

Developing a Data Mesh Inspired Vision Using Microsoft Fabric

Barry Smart

Microsoft Fabric, influenced by Data Mesh, offers a solid choice for organizations seeking a data-driven strategy. This article will help you assess how to approach a Data Mesh inspired vision using Microsoft Fabric.
How Does Microsoft Fabric Measure Up To Data Mesh?

How Does Microsoft Fabric Measure Up To Data Mesh?

Barry Smart

Data Mesh is the latest approach for delivering data-driven value at scale. Microsoft Fabric has been heavily influenced by Data Mesh, but there are gaps that you will need to address in areas such as data product marketplace, developing standards, master data management, and federated computational governance.
Microsoft Fabric Is A Socio-Technical Endeavour

Microsoft Fabric Is A Socio-Technical Endeavour

Barry Smart

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.
Copilot - Are You Ready to Unleash the Power of AI in Self Service Analytics?

Copilot - Are You Ready to Unleash the Power of AI in Self Service Analytics?

James Broome

In the ever-evolving landscape of data and analytics, the advent of AI-powered capabilities has opened up exciting possibilities for self service reporting. Tools like Copilot in Power BI and Microsoft Fabric offer users the ability to extract insights from data using natural language prompts. It's an enticing prospect, where anyone can explore, visualize, and analyze data without being constrained by pre-canned reports or relying on data engineering teams. However, as we start to embrace these new capabilities, it's essential to strike a balance between the potential benefits and potential pitfalls.