Platforms > Microsoft Fabric

Microsoft Fabric Consulting

Alphabyte provides Microsoft Fabric consulting. We help mid-market and enterprise organizations bring data integration, warehousing, real-time analytics and Power BI reporting onto one Microsoft platform, with pipelines, security and data models that keep the numbers accurate as the business grows.

Our Microsoft Fabric consultants plan, build and support your environment, from a first workload to a full data platform your team can run.

Success Stories

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What We Do

Microsoft Fabric consulting services that bring your data, pipelines and reports together on one platform your team can run.

Microsoft Fabric is a software-as-a-service data platform from Microsoft. It brings data integration, data engineering, warehousing, real-time analytics, data science and Power BI together, and stores the data in one shared lake called OneLake. Instead of stitching separate services together, your engineers, analysts and data scientists work in one place under one set of security rules.

Fabric suits many organizations already on Microsoft 365 and Azure, but a working Microsoft Fabric implementation still takes careful design. We plan the architecture, build pipelines from each source, model the data for reporting and set up capacity, security and workspaces. Our guide to Microsoft Fabric for business leaders explains the platform in plain terms, and many projects grow out of our Power BI consulting work.

We also build data platforms on Snowflake, Azure SQL and Databricks, and connect Fabric to the systems you already run.

01

Unified Analytics Platform

Integration, engineering, warehousing and reporting on one platform, with one copy of your data.

02

Real-Time Analytics

Streaming and event data analyzed as it arrives, for decisions that cannot wait.

03

Team Collaboration

Engineers, data scientists and analysts working from shared workspaces and the same data.

04

Simplified Data Preparation

Automated pipelines and dataflows that clean and shape data without manual effort.

05

Scalable Data Architecture

Lakehouse and warehouse design that grows with your data and keeps queries fast.

06

Machine Learning Integration

Machine learning models built into Fabric for forecasting and predictive analytics.

07

Data Security & Compliance

Workspace roles, row-level security and controls that support your compliance requirements.

08

Power BI Reporting

Interactive Power BI dashboards and reports built directly on your Fabric data.

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Our Approach

  • Over 1 to 2 weeks we review your business needs, data sources, current infrastructure and existing reports. We meet the people who use the data and agree on the questions the platform must answer. If you already run Power BI or Azure data services, we also look at what can carry over into Fabric.

  • We turn what we learned into a data strategy and roadmap. It sets out which workloads come first, how Fabric fits with your existing systems, how capacity will be sized and how the platform will scale.

  • We design your Fabric architecture, including workspaces, lakehouses or warehouses, the data model and the pipelines from each source. We choose the right tool for each job, such as Data Factory pipelines, Synapse data engineering and Power BI, and plan security and workflow automation. You review the design before any build starts.

  • Over about 6 to 12 weeks for a first release, we configure the environment, build the pipelines, load your data and connect your reports. We work in phases, so the first workloads run on Fabric early and more sources follow. Every load has monitoring and alerts, so failures are caught before anyone sees a wrong number.

  • We reconcile key figures against your source systems and test performance under realistic use. Then we tune pipelines, models and queries based on real feedback and data, and review capacity usage, so performance stays steady and spending stays visible to your finance and data teams.

  • We train your engineers, analysts and report users on how the platform is organized and how to work in it day to day. Documentation covers the architecture, pipelines, data model and security setup, so your team can extend Fabric without waiting on us for every change.

  • After launch we offer ongoing support and periodic reviews. That includes monitoring loads, fixing failures, tuning performance, managing access and adding new sources and reports. As Microsoft adds Fabric features and your needs change, we help you decide what is worth adopting and keep your business intelligence support running.

Microsoft Fabric Success Stories

Financial Management

The PowerApps application serves as a one-stop hub for both Financial Analysts and Managers to manage all month-end financial operations. Reporting has also been embedded directly into the application so that users are not required to navigate between multiple environments.

Financial ManagementRead More

E-Commerce

Annmarie Skin Care’s challenge is common and is experienced by e-commerce shops across the spectrum: while relying on 3rd party applications provides quick access to the functionality necessary to run its shop, it creates scattered environments of data that make it difficult to gather meaningful insights.

E-CommerceRead More

Your Microsoft Fabric Consulting Team

Fabric projects work best when the same team builds the data platform and the reports on top of it. Alphabyte is a Microsoft Solutions Partner, founded in 2015, and has served 100+ organizations. Our data engineers and BI developers work as one team, so there is one owner for the numbers from source to dashboard.

Our team holds Microsoft certifications including Fabric Analytics Engineer Associate, Power BI Data Analyst Associate and Azure Solutions Architect Expert. See the full list on our certifications page.

We work with mid-market and enterprise organizations. Related services: data warehousing services, data analytics & BI consulting and real-time reporting.

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Frequently Asked Questions

  • Microsoft Fabric is a cloud data platform from Microsoft that brings data integration, data engineering, warehousing, real-time analytics, data science and Power BI into one service. All of these tools store data in OneLake, a single shared lake, so teams do not copy data between products. Because everything sits in one place, security, governance and monitoring are managed together instead of tool by tool.

  • A Microsoft Fabric consultant designs, builds and tunes your Fabric environment. That covers the architecture, workspaces, lakehouses or warehouses, pipelines from each source, the data model, security and capacity planning. At Alphabyte the same team also builds the Power BI reports on top, reconciles numbers against your source systems and trains your staff, so the platform keeps working after the project ends.

  • Most organizations bring in help when reporting depends on manual exports, when data sits in several disconnected Azure services, or when Power BI has outgrown the sources it reads from. Others have bought Fabric capacity and are not sure how to organize it. An experienced team sets up a clean structure, security and governance early, which is far easier than fixing them later.

  • Cost depends on the number of data sources, data volume, how clean the data is, how much history you bring across and how many reports need to connect. Fabric capacity and licence costs are billed separately by Microsoft. We start with a short discovery, then scope the first release with you before we begin, and design the setup to keep ongoing capacity use under control.

  • Power BI is the reporting and dashboard tool. Microsoft Fabric is the wider platform that includes Power BI along with pipelines, data engineering, warehousing, real-time analytics and data science. Many organizations start with Power BI on its own and move to Fabric when they need a proper data foundation underneath. We help you decide if and when that step is worth it for your situation.

  • Discovery usually takes 1 to 2 weeks. A first release, with your main sources loaded, the data model built and reports connected, usually takes about 6 to 12 weeks after that. Timing depends on the number of sources, data quality and how much history you bring across. We build in phases, so the first workloads run on Fabric early and more sources follow.

  • Look for a team that has built data platforms end to end, not only configured Fabric workspaces. Ask how they model data for reporting, handle reconciliation, plan capacity and secure sensitive data. Check that they know Power BI well, since most Fabric value reaches people through reports. Ask to see similar projects, and confirm they will document the work and train your team.

  • Yes. We handle a Microsoft Fabric migration as part of the implementation, bringing existing sources, pipelines and Power BI reports onto the platform in stages. Each stage includes test loads and reconciliation against the original system, so you can confirm the numbers before switching over. Where it helps, the old and new setups run side by side for a period until your team is confident in the results.

  • No. Fabric is a strong fit when your systems already run on Microsoft 365 and Azure and you want data engineering and reporting in one place. Organizations with multi-cloud needs or an established warehouse may be better served by options such as Snowflake, Azure SQL or Databricks. We recommend a platform based on your systems, skills, data volume and reporting tools.

  • Fabric runs on shared capacity, so design matters. We schedule heavy loads outside reporting hours, avoid copying data that can be read where it sits, tune pipelines and queries that do more work than they need, and separate workloads that compete for resources. Capacity monitoring shows usage by workspace and workload, so you can see where costs come from and act early.

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