OneLake and storage choices
Use OneLake as the common data lake and compare lakehouse and warehouse patterns. Evaluate shortcuts where suitable, including their source permissions and dependencies, before deciding which data should be copied.
Data & AI / Overview
DIGITAL CLOUD / Data & AI
Microsoft Fabric
Bring data integration and analytics into a connected foundation. Plan sources, pipelines, workspaces and ownership before expanding reporting.
Plan your solution01
Microsoft Fabric
Understanding the solution
Microsoft Fabric combines data engineering, integration and reporting around a shared platform. Digital Cloud plans a practical foundation for bringing operational data into analytics. We start with source ownership, the questions your team needs to answer and the skills available to maintain the solution.
Microsoft Fabric brings data integration, engineering and analytics capabilities into one platform, with OneLake as a shared data foundation. A project should define workspaces, ingestion, transformations and reporting together. Capacity and governance decisions shape how that environment is used and operated. Useful analytics depends on consistent definitions and reliable source data. Connecting platforms is only part of the work: ownership, quality, access and reconciliation determine whether people can trust the result.
Capabilities and scope
Pipelines and usable data
Design ingestion and transformation with Data Factory pipelines, dataflows or notebooks as appropriate. Include quality checks, incremental loading where supported and a clear response to failed processing.
Governance and capacity
Organize workspaces, access and information classification. Record lineage, ownership and release responsibilities; monitor capacity usage so engineering jobs and report consumption can be assessed together.
A practical example
A distributor combines order and warehouse data to investigate late deliveries using shared definitions across operational and management reports.
What your project can deliver
- A target architecture showing sources, storage and reporting dependencies.
- A first data pipeline with agreed validation checks.
- A governance and operations backlog with named owners.
The final deliverables, licensing and responsibilities are agreed for your environment before implementation.
02
Requirements and considerations
List sources, reports, decision makers and data-quality concerns. Agree refresh needs, access rules, capacity and validation checks before moving a prototype into routine use.
Microsoft Fabric
Project priorities
Data pipelines
Workspace structure
Capacity planning
We begin with a conversation about the task, the people involved and the systems already in place. Together we identify what a useful result would look like and which dependencies need attention first. The agreed proposal sets the delivery boundaries, responsibilities and acceptance criteria.
Your engagement
How Digital Cloud can help
| Project phase | What happens |
|---|---|
| 01Define the design | Translate the requirements into a practical design. Confirm product choices, interfaces, permissions and the responsibilities needed to operate the solution. |
| 02Deliver in stages | Configure or implement the agreed scope, test representative workflows and resolve material issues. Plan user communication and any controlled transition from existing systems. |
| 03Prepare for ongoing operation | Confirm acceptance, document the relevant configuration and prepare the people responsible for daily use. Define maintenance and support arrangements before handover. |
Microsoft Fabric
Questions before you start
Must every existing system move into Fabric?
No. We assess integration, shortcuts and staged migration. Existing systems can remain authoritative while selected data supports the initial analytics scenario.
What determines the cost and schedule?
The starting environment, integrations, user groups and agreed outputs determine the effort. We confirm scope and commercial terms before work begins. Software licenses, infrastructure consumption and ongoing support may be separate items.
What will we receive?
The proposal identifies the deliverables: these may include findings, a prioritized roadmap, a tested configuration, a prototype, documentation or training. We agree what is included and how completion will be assessed.
Can this work with our existing systems?
We review the actual applications, data sources and access requirements before recommending an integration. Dependencies and compatibility limits are recorded so the delivery plan reflects your environment.
What happens after the initial work?
You can use the findings to guide your own team or discuss a follow-on phase. Any maintenance, monitoring or support includes separately agreed service hours, responsibilities and response targets.
Product documentationMicrosoft Learn ↗