Data mesh – The next-generation enterprise data platform?
PwC study 2022: Changing data platforms.
Your expert for questions
Martin Whyte
Partner, Data & AI Data Platform and Governance at PwC Germany
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Simplify your data platform and accelerate value creation
Microsoft Fabric is a unified SaaS platform that integrates all critical data and analytics workloads into one secure, governed, and AI-powered experience. It brings together core services like Data Factory, Real-Time Intelligence, and Power BI into one unified, capacity-based platform.
With capabilities like Database Mirroring, Event Streams, OneLake Shortcuts, and Copilot embedded in every workload, Fabric significantly reduces the need for manual infrastructure setup and maintenance. This means faster onboarding, lower total cost of ownership, and less time spent on platform management.
For business leaders, Fabric unlocks measurable value: faster time-to-insight, more agile product development, and data-driven decisions that scale. PwC's implementation of Microsoft Fabric helped a global enterprise reduce time-to-use-case from 18 to just 4 months, demonstrating its impact in real-world transformation. Built for multi-cloud and open by design, it provides a consistent foundation for turning your data estate into a competitive advantage.
What makes Microsoft Fabric stand out
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Bring all data and analytics capabilities to one self-serve platform
How to use Fabric in your enterprise?
A global enterprise wants to predict Customer Lifetime Value (CLV) using Microsoft Fabric's integrated approach:
Mirror: Operational databases mirror directly into OneLake via built-in connectors, eliminating custom ingestion pipelines.
Ingest & Stream: Real-time interaction data flows through Event Streams into unified storage alongside structured data.
Transform: Data harmonization via Spark Notebooks/Dataflows Gen2, with Copilot generating transformation logic, mapping fields, and writing code.
Enrich: Semantic Link enables data model reuse in Data Science notebooks. CLV models train on unified OneLake data.
Serve & Act: Insights delivered to Power BI via DirectLake for high performance. Users update statuses directly through SQL-based databases, enabling operational feedback loops.
Data Agent: AI-powered workflows connect seamlessly to Copilots and applications, bringing intelligence to operational environments.
Copilot: Generates queries, visualizations, models, and suggesting actions for technical and business users.
Main difference to existing platforms?
While similar goals can be achieved with Synapse or Databricks, Fabric stands out through:
- Single unified platform where business users and developers collaborate using shared data assets
- Built-in data mesh support with consistent governance across OneLake
- AI-powered Copilot integrated across every workload
- Native features like mirroring, Shortcuts, DirectLake eliminate infrastructure complexity
- Seamless Microsoft 365/Teams integration for insights within everyday workflows
Getting started?
Consider these questions:
- Do you have a cloud data platform? How many different tools does it comprise?
- How much time goes to platform infrastructure vs. actual data product development?
- Can anyone in your company easily and safely use your data platform?
To reduce technical complexity and simplify governance, Microsoft Fabric might be the right next evolution of your data platform.
Explore Fabric scenarios
- Bring all data to the Lakehouse
- Build a common data warehouse approach
- Bring data science to life
- Perform analytics in real time
Bring all data to the Lakehouse
Why?
The Data Lakehouse architecture pattern is used in most modern data platforms because it is an open and governed foundation, combining the best elements of data lakes and data warehouses.
How?
In Fabric, notebooks and pipelines transform data and write it to the Lakehouse using consistent, well-defined structures such as the medallion architecture.
New in Fabric?
OneLake integration – Create shortcuts from Lakehouses and run SQL queries on your data and reducing data estate fragmentation.
Next Generation Data Platforms
Use data even more effectively within your company based on modern data platform concepts like data mesh and data fabric.
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