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Microsoft Fabric Consulting Services

Microsoft Fabric consulting helps you plan, build, migrate and govern Microsoft Fabric, Microsoft’s all-in-one analytics platform. Algoscale, a Microsoft Solutions Partner for Data & AI, delivered ECM Energy Services’ governed Azure and Power BI platform in 14 weeks.

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Enterprises that trust Algoscale for Microsoft Fabric consulting services

What is Microsoft Fabric?

Microsoft Fabric is a software-as-a-service analytics platform from Microsoft. It combines Data Factory (pipelines and ETL), Spark data engineering, lakehouses, a SQL data warehouse, Real-Time Intelligence, data science and Power BI, and all of them read from OneLake, a single data lake built on Azure Data Lake Storage. You buy it through Azure as a shared capacity (F SKUs, from F2 to F2048), either pay-as-you-go or reserved, and every workload draws on that capacity. Governance runs through Microsoft Purview.

For most teams the gain is fewer tools to stitch together: one copy of the data, one security model and one bill, instead of separate Synapse, Data Factory and Power BI Premium setups.

Certified Microsoft Fabric Partners.

As a Microsoft Solutions Partner with Data & AI (Azure) specialization, Algoscale brings certified expertise to every Fabric engagement. Our team includes certified Microsoft Fabric Professionals with validated expertise in:

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Data engineering

Azure Data Engineering & Analytics

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Reporting

Power BI Data Analyst and Developer

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Architecture

Azure Solutions Architect

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Governance

Microsoft Purview governance

Operationalising AI: How Fabric Makes Your Data Work Harder.

There are very specific use cases, where the in-built AI of Fabric provides an advantage. To provide a value to your business, the Microsoft Fabric implementation services can be used as:

Co-pilot Integration in Power BI

When we use co-pilot integration we can get final data summaries from our natural language and query data. All shared co-pilot features are available based on the optimisation of your F-SKU capacity.

Integrating Azure AI

Deployment and fine-tuning of ML models can be done natively based on the data you have acquired. Hence, it puts an end to the struggle of exporting data into different Machine Learning platforms.

Real-Time Intelligence

We help in automating action, which is better than using dashboards. Passive charts are converted into live workflows, where latency is reduced by optimising streaming data and monitoring IoT. Data Activator and Eventhouse makes sure this process runs smoothly in real-time.

Microsoft Fabric Consulting Services - Everything in one Ecosystem.

We cover the full Fabric lifecycle, from readiness assessment and architecture to migration, governance and Power BI, with everything stored and secured in OneLake.

Strategy and Fabric Readiness Assessment

Our system inspects your computational spending, present workloads, and technical shortcomings. We audit that data to provide a clear strategy for adoption.

Azure Synapse to Fabric Migration

We move Synapse pipelines, Spark notebooks and dedicated SQL pools into Fabric Data Factory, Lakehouse and Warehouse, then check every table and report against the old system before cutover.

Setup and Governance of OneLake

To ensure that you get responsive and secure data, from the very first day, we integrate Microsoft Purview, folder hierarchies, and provide a default naming convention that is easy for you to follow.

Power BI Premium to Fabric Migration

We ensure that your P-SKU workspaces are transitioned smoothly into F-SKUs. You get DirectLake connectivity immediately, thus reducing scheduled refresh time.

LakeHouse Architecture and Medallion Design

We provide data layers in bronze, silver, and gold. Hence you get highly reliable and high quality data.

Integration of Enterprise Application

We ensure that you get a unified view of your Fabric operations such as; Salesforce, SAP, Dynamic 365 and so on. The integration is done by collecting CRM and ERP systems.

Enterprise Microsoft Fabric Consulting Services: Security, Migration and Managed Support.

You should not have to worry about your operations getting disrupted or your data getting breached and unsuccessful data migration, that is why our Microsoft Fabric consulting comes with these assured services.

Zero-Trust Security and Governance

It is important to verify the data that is present in your organisation's network. Our integration of Microsoft Purview ensures automation of data lineage, configuration of row and column level security and apply strict level of governance. This ensures that your platform always verifies inside data and remains compliant with HIPAA, SOC 2, and GDPR.

Customised Migration Pathways

We plan the move from Snowflake, Azure Synapse, SQL Server or Databricks around what already works. Workloads move in stages and run in parallel, and they switch over only after the numbers reconcile, so reporting keeps running throughout.

Industry-Specific Solutions

Based on your data source, we provide specific personalised data models. This can vary from secure data analytics to provide detection of financial fraud in real-time.

Post-Deployment Support

Your migration to Microsoft Fabric is just the beginning. Our post-deployment support includes providing monitoring of your F-SKU capacity, optimisation of your PySpark computation, and perpetual query tuning.

Microsoft Fabric migrations we handle.

Moving fromMoving toWhat we convert
Azure Synapse AnalyticsFabric Lakehouse, Warehouse and Data FactoryPipelines, Spark notebooks, dedicated SQL pools
Power BI Premium (P SKUs)Fabric capacity (F SKUs)Workspaces, semantic models, refresh schedules, Direct Lake setup
SQL Server (SSIS, SSAS, SSRS)Fabric Data Factory, Warehouse and Power BISSIS packages, SSAS models, SSRS reports
Azure Data FactoryFabric Data FactoryPipelines, linked services, triggers
Snowflake / DatabricksFabric Lakehouse (where it fits)Tables, transformation jobs, BI connections

Swipe the table sideways to see every column.

Every migration includes

  • Code conversion: SQL, stored procedures and ETL jobs rewritten for the new platform, not just copied over.
  • Data reconciliation: row counts, financial totals and key metrics checked old vs. new before anything is switched off.
  • Report continuity: Power BI, Tableau, Looker and SSRS reports keep working on day one.
  • Cost-tuned setup: warehouse sizing and workload rules set up so your first cloud bill isn’t a surprise.
  • Parallel run and rollback plan: both systems run side by side, with a tested way back if anything fails.

Microsoft Fabric features.

The components we design, build and govern when we put Fabric into production.

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OneLake

OneLake is Fabric’s shared data lake. It puts organizational data in one place and cuts down on copies and silos. Algoscale designs, implements, secures, and governs OneLake so it can scale with your analytics work.

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Data Factory

Data Factory handles integration and orchestration in Fabric - connecting sources, moving data, transforming it, and running workflows. Algoscale builds pipelines that pull from your enterprise systems and land analytics-ready data in Fabric.

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Data Warehouse

Fabric Data Warehouse is the SQL layer for structured enterprise data, with storage that scales and ties into the rest of Fabric. Algoscale designs the warehouse, migrates existing workloads, tunes performance, and connects it to reporting.

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Lakehouse

A Fabric lakehouse mixes lake flexibility with SQL and Spark on OneLake, so structured and unstructured data can sit together. Algoscale designs lakehouse and medallion layouts, builds transforms, and sets up the base for analytics and AI.

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Power BI

Power BI is the reporting layer in Fabric - semantic models, dashboards, and interactive reports. Algoscale connects it to governed Fabric data, builds models teams can trust, and helps turn that data into day-to-day insight.

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Copilot

Copilot adds AI help inside Fabric for queries, pipelines, code, summaries, and insights. Algoscale prepares governed data, configures the environment, and helps teams use Copilot in actual workflows instead of leaving it unused.

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Algoscale’s Microsoft Fabric Consulting Process for Production Delivery.

A five-stage approach that takes you from assessing the current data estate to designing, implementing, and optimizing Microsoft Fabric - with the architecture, migration, and support needed to make the platform production-ready.

01

Discovery and strategy

We start with your data estate, workloads, integrations, governance, and business needs. That tells us where Fabric fits and how implementation or migration should be sequenced before design begins.

Outcomes

  • Fabric readiness and gap assessment
  • Prioritized implementation roadmap
02

Architecture and design

We design OneLake, lakehouse, warehouse, security, governance, integrations, and capacity around actual workloads. The target architecture covers what you need now and leaves room to grow.

Outcomes

  • Production-ready Fabric architecture
  • Security, governance, and capacity plan
03

Build and migration

We stand up Fabric and move data, pipelines, Power BI, and other supported workloads in stages. Incremental migration and validation reduce disruption and confirm the new environment works as expected.

Outcomes

  • Migrated and validated workloads
  • Production-ready Fabric environment
04

Analytics and AI activation

Once the foundation is in place, we turn on Power BI, Direct Lake, Copilot, real-time analytics, and the integrations teams actually use. The platform becomes a working analytics environment, not just infrastructure.

Outcomes

  • Governed analytics and reporting
  • AI-ready data environment
05

Optimization and enablement

After launch we tune performance, right-size capacity, review governance, and transfer knowledge. Your team can run Fabric day to day, with support still available when new work or issues come up.

Outcomes

  • Optimized Fabric performance and costs
  • Self-sufficient internal team with ongoing support

Why Algoscale for your Fabric journey.

See why businesses choose Algoscale for Microsoft Fabric consulting, implementation, and migration, backed by deep expertise in data engineering, analytics, cloud, governance, and end-to-end data platform modernization.

12+

Years of Data Expertise

12+ years of experience across data engineering, analytics, cloud, and AI, helping businesses solve complex data challenges.

150+

Projects Delivered

150+ data and technology projects delivered across industries, with experience working across diverse data platforms and architectures.

400+ Deployments

400+ successful deployments across data, analytics, and AI workloads, backed by hands-on engineering experience.

Microsoft Solutions Partner

As a Microsoft Solutions Partner for Data & AI, we bring proven Microsoft expertise to your Fabric implementation.

Strong Governance & Security

We build security, governance, and compliance into your Fabric environment, with experience across GDPR, HIPAA, PCI-DSS, SOX, and ISO 27001.

End-to-End Fabric Expertise

From architecture and migration to data engineering, Power BI, governance, and optimization, our team covers the full Fabric stack.

Microsoft Fabric for Enterprise Data Teams - Algoscale white paper

Microsoft Fabric for Enterprise Data Teams

A vendor-neutral read on Fabric architecture, licensing and cost reality, migration from Synapse, Databricks or Snowflake, and Power BI integration — framed as an operating-model decision rather than a feature comparison.

18 pages · free PDF · no sales follow-up required

Hear From our Clients.

Video testimonial

I’ve been tremendously impressed by their knowledge, skills and professionalism.

Neeraj and Algoscale enabled Perceptronix and my clients have the cutting edge solutions they need to solve the very real problem that they have. We really enjoy working with their development team — our projects are always well defined and managed by project leaders.

5.0
IndustryMachine learning
LocationUnited Kingdom
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Our data experts.

The people who lead Microsoft Fabric engagements at Algoscale.

Neeraj Agarwal, Architect & Practice Lead at Algoscale

Neeraj Agarwal

Architect & Practice Lead

Leads Microsoft Fabric engagements across OneLake, lakehouse, warehouse and Power BI.

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Tanmay Agrawal, Solutions, Data at Algoscale

Tanmay Agrawal

Solutions, Data

Leads solution design and scoping for Fabric projects.

LinkedIn

Frequently Asked Questions.

Fabric is priced by capacity. You buy an F SKU (from F2 up to F2048) that every workload shares, either pay-as-you-go or reserved at a lower rate, and OneLake storage is billed separately. Power BI Pro licenses are still needed for people who build reports, and for viewers on capacities below F64. We size the capacity against your real workloads during the 2–3 week readiness assessment, so you don’t overbuy.
Clutch5.0 / 5 · 12 reviewsISO 27001ISO 27001Clutch Champion 2025Clutch Champion 2025Clutch Global 2025Clutch Global 2025Best Data Analytics Companies 2025Best Data Analytics Companies 2025

Contact Us.

Tell us what you are trying to solve. A member of our team will get back to you with next steps, not a brochure.

Our customers

WalmartCapital OneAccentureOH PartnersECM Energy ServicesBeOne MedicinesJuice VenturesUSTKPI PartnersSupplyCopiaImpendiParspec

Certified partners

Microsoft PartnerAWSDatabricksSnowflake

Certifications

ISO 27001ISO 27001Clutch Champion 2025Clutch Champion 2025Clutch Global 2025Clutch Global 2025Best Data Analytics Companies 2025Best Data Analytics Companies 2025
Top AI Development Company BusinessFirms Certified Company WADLINE Software Badge Top Software Developers New Jersey Software Development Companies Top Custom Software Development Companies 2026 Top Software Outsourcing Companies USA BI & Big Data Development Leader 2025 Artificial Intelligence Company of the Year 2025