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.
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:
Data engineering
Azure Data Engineering & Analytics
Reporting
Power BI Data Analyst and Developer
Architecture
Azure Solutions Architect
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 from
Moving to
What we convert
Azure Synapse Analytics
Fabric Lakehouse, Warehouse and Data Factory
Pipelines, 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 BI
SSIS packages, SSAS models, SSRS reports
Azure Data Factory
Fabric Data Factory
Pipelines, linked services, triggers
Snowflake / Databricks
Fabric 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.
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 Consultancy Success Stories.
A selection of our Microsoft Fabric and data platform engagements, featuring real challenges, solutions, and outcomes.
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.
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.
We are impressed with their good communication skills.
Algoscale Technologies, Inc. provided a transportation company with BI, big data consulting, and SI services. The team was tasked with improving the client’s traffic movement counts at several intersections.
We are extremely happy with the work that they’ve done.
They are responsive, the quality of the engineers and data scientists are very very good. They are challenged by us and ultimately always deliver. We find that the management team are really attuned to the kind of skills that we need.
…Algoscale is unwilling to settle for anything less than full customer satisfaction.
Algoscale Technologies, Inc. created an engine to capture data and an analytics platform to synthesize the information. They consulted on which technologies to use and provided maintenance.
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.
It’s paid. Microsoft offers a free trial capacity, but production use needs a Fabric capacity (an F SKU) plus Power BI licenses for report creators. Small teams can start on a low SKU and scale up as usage grows.
Fabric is a Microsoft SaaS platform that you buy and manage through your Azure subscription. It runs on Azure, and its OneLake storage is built on Azure Data Lake Storage, but you don’t manage servers or clusters the way you do with Azure Synapse.
It includes one, but it’s more than that. Fabric Data Factory covers pipelines, copy jobs and Dataflow Gen2 for ETL and ELT, and the same platform also handles storage, warehousing, real-time analytics and Power BI reporting.
It works for both. Capacity, workspace design, and governance should match data volume, team size, and control needs. A mid-size company does not need an enterprise-scale setup.
Readiness assessments take 2-3 weeks. Core platform setup (OneLake, governance, initial lakehouse) requires 8-12 weeks. Full Synapse migrations range from 3-6 months depending on workload complexity, with phased go-lives to minimize business disruption.
A lakehouse uses OneLake for engineering and analytics across files and tables. A warehouse is mainly structured SQL. Choose based on data shape, transforms, and how teams query the platform.
Yes. Fabric can connect to on-prem, other clouds, and SaaS systems. You do not need to move the full estate to Azure before starting. Existing systems can stay in the architecture.
Yes. We design Fabric around the systems you already use - warehouses, Dynamics, SAP, Salesforce, and on-prem sources - then decide what to migrate, integrate, or leave in place.
We plan capacity from actual workloads, watch utilization, right-size SKUs, and fix heavy queries and models. Cost control comes from architecture and operations, not from buying a larger capacity later.
You can expect a unified platform, governed access, reliable reports, capacity that matches usage, and a base for later AI work. Exact outcomes should be tied to your business and technical goals.
It can for many workloads, but not by default. Base the move on latency, skills, cost, and what already works. Some teams keep Snowflake or Databricks where they still have a clear advantage.
Algoscale is a Microsoft Solutions Partner for Data & AI (Azure). We’re also an AWS Advanced Tier Services Partner, a Snowflake Select Partner and a Databricks Bronze Partner, so we’ll tell you honestly when Fabric is the right fit and when it isn’t. Our team holds certifications in Azure Data Engineering, Power BI Data Analytics and Azure Solutions Architecture, with 50+ production Fabric deployments and clients like ECM Energy Services.
Yes, teams run production on it. You still need sound architecture, security, deployment, monitoring, and capacity management. Microsoft’s Well-Architected guidance covers those practices.
Fabric offers identity controls, workspace permissions, labels, lineage, and monitoring. These only work if they are designed to your security and regulatory rules, not left on default settings.
Your team can implement it if they have engineering, architecture, governance, and platform skills. A partner helps most with complex migrations, enterprise design, capacity planning, or faster delivery.
We reconcile source to target, check transforms, compare metrics, and test semantic models and reports before cutover. That catches data and calculation issues before users rely on the new platform.
Yes. We leave documentation, operating practices, and knowledge transfer so your team can run the platform. Support can stay available for monitoring, optimization, and new work if you want it.
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