Microsoft Fabric

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

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.

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.

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.

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.

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.

Microsoft Fabric extends the promise of Azure Synapse integration to all analytics workloads from the data engineer to the business knowledge worker. It brings together Power BI, Data Factory, and the Data Lake, on a new generation of the Synapse data infrastructure. Delivered as a unified SaaS offering, it aims to reduce cost and time to value, while enabling new "citizen data science" capabilities. Check out all the resources from the endjin team collated in this post.

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 post we compare Azure Synapse Analytics with Microsoft Fabric to understand how features map from Synapse to Fabric.

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