Microsoft Fabric Consulting Services

From Legacy Data Warehouse to a Governed Fabric Lakehouse.

1. Most organizations run analytics on a mix of on-prem warehouses, disconnected marts, and point ETL tools. That fragmentation slows every reporting cycle and creates conflicting versions of the truth across teams.
2. Migrating to a Fabric lakehouse centralizes data in scalable, open Delta Lake storage — giving you high-performance SQL querying, native Power BI integration, and independent scaling of compute and storage.

Why Should You Move to a Microsoft Fabric Lakehouse?

If you're currently running a legacy warehouse or a patchwork of BI tools, here are compelling reasons to consolidate on Fabric:

1. Unified platform: Fabric brings data engineering, warehousing, science, and BI together instead of stitching together separate vendor tools.
2. Open storage format: Data lands in OneLake as Delta Lake, so it's queryable by every Fabric workload without duplication.
3. Elastic scaling: Compute and storage scale independently, so you pay for what you use as data volumes grow.
4. Simplified pricing: A single capacity-based pricing model replaces separate licensing for warehouse, ETL, and BI tools.

Moving to a Fabric lakehouse can materially reduce your total cost of data operations. If you're seeking a modern, governed foundation for analytics, this is the natural next step.

If you're seeing any of the following signs, it's the right time to plan your migration to a Fabric lakehouse.

• Your reporting depends on nightly batch jobs that can't keep pace with the business.
• Data is duplicated across a warehouse, a lake, and several BI extracts, and nobody fully trusts the numbers.
• Licensing and infrastructure costs for your current stack keep climbing as data volume grows.
• Business teams are waiting on IT for basic self-service reporting access.
• You want a single governed platform that supports engineering, science, and BI without separate tools.

Our Fabric migration consultants have extensive experience with the following

Searching for a Microsoft Fabric Consultant or Partner?

Microsoft Fabric is your all-in-one platform to automate data pipelines, engineering, science, and AI-powered analytics. Discover the range of Fabric-based services we deliver.

Nxerra's Microsoft Fabric consultants connect your business and technical teams, enabling you to achieve faster time-to-insight and reliable, governed analytics.

1. At Nxerra, we empower businesses to unlock the full potential of Microsoft Fabric by integrating engineering, science, and reporting data into a unified platform. Leveraging our expertise across industries, we offer consulting, implementation, and support services to drive analytics transformation and measurable business growth.

Our Microsoft Fabric Services.

1. Data Engineering Services: We design and optimize data pipelines using lakehouse architecture for scalable storage, running Spark jobs and notebooks to streamline ingestion and transformation.
2. AI-Powered Copilot in Fabric: We automate dataflows, enable natural-language querying, and publish tailored Copilot experiences so your data works smarter, not harder.
3. Data Science Expertise: We implement end-to-end workflows, build predictive models in Fabric notebooks, and facilitate collaborative analysis that drives faster, smarter decisions.
4. Business Intelligence Modernization: We modernize legacy BI platforms to align with current standards, optimizing existing systems for efficiency and relevance.

We bring domain-specific data patterns to every industry we serve.

• Logistics & Supply Chain
• Fintech
• Healthcare
• Manufacturing
• Real Estate
• Telecom

Making data-driven decisions involves using relevant data to inform and support your choices.

1. Define the Problem: Clearly articulate the decision you need to make and the specific outcomes you're aiming for. Understanding the problem is crucial for identifying the right data to collect and analyze.
2. Identify Relevant Data: Determine what data points are needed to address the problem, spanning internal sources like sales and operations data as well as external market and industry data.
3. Collect & Govern the Data: Gather the necessary data into OneLake, ensuring it is accurate, reliable, and up-to-date, then apply the governance controls needed before it reaches a report.