There is abundance of data when it comes to the collection of big enterprises. However, the real problem is scattered and unstructured data. Wouldn’t it be great if this unorganised data could be directed so that we get an overview of how the data should be analysed for your end-to-end operations? Here at Algoscale, such solutions are provided through Microsoft Fabric Consulting Services.
Microsoft Fabric provides an easy solution to integrate Azure Data Factory, Power BI premium, Azure Synapse and similar analytical tools in one platform. It also uses the design of SaaS based data platforms, OneLake for combining and providing a better performance of storing and managing the data. With Microsoft Purview, the data governing is efficient.
The licensing of Microsoft Fabric in 2026 is completely shared (F-SKUs). With such a licensing policy, lots of extra licenses are not required. Hence, businesses find it on their advantage to migrate to Microsoft Fabric.
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:
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:
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.
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.
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.
To transfer your complete analytics workload, we provide smooth transitioning using our Microsoft Fabric consulting services. This includes the complete life cycle of the data where everything is stored securely in OneLake.
Our system inspects your computational spending, present workloads, and technical shortcomings. We audit that data to provide a clear strategy for adoption.
Our platform forms a new architecture for your pipelines and the lakehouse structure gets optimised. Thus, we present you with analytics in real-time.
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.
We ensure that your P-SKU workspaces are transitioned smoothly into F-SKUs. You get DirectLake connectivity immediately, thus reducing scheduled refresh time.
We provide data layers in bronze, silver, and gold. Hence you get highly reliable and high quality data.
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.
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.
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.
Our strategy promises that you get a risk-free transition from platforms such as Snowflake, Azure Synapse, SQL Server and so on. This helps in reducing the operational downtime to zero.
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.
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.
The components we design, build and govern when we put Fabric into production.
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 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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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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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 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 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.
Explore the serviceA 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.
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
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
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
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
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
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 experience across data engineering, analytics, cloud, and AI, helping businesses solve complex data challenges.
150+ data and technology projects delivered across industries, with experience working across diverse data platforms and architectures.
400+ successful deployments across data, analytics, and AI workloads, backed by hands-on engineering experience.
As a Microsoft Solutions Partner for Data & AI, we bring proven Microsoft expertise to your Fabric implementation.
We build security, governance, and compliance into your Fabric environment, with experience across GDPR, HIPAA, PCI-DSS, SOX, and ISO 27001.
From architecture and migration to data engineering, Power BI, governance, and optimization, our team covers the full Fabric stack.
A selection of our Microsoft Fabric and data platform engagements, featuring real challenges, solutions, and outcomes.
Algoscale helped a fast-growing retail brand unify fragmented data across channels into a single analytics ecosystem, enabling real-time insights, improved inventory visibility, and faster decision-making.
For a global healthcare enterprise that struggled with fragmented procurement data and a lack of visibility across systems, impacting cost control and decision-making , we built a centralized data and AI platform that delivered real-time procurement insights, resulting in $4.5M savings and 10x ROI.
We modernized a legacy data landscape for a $7B insurance firm by building a unified data platform to enable enterprise-wide analytics and accelerate AI adoption. This resulted in 30% faster data modernization.
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.
100% of the deadlines set by Algoscale Technologies, Inc. have been met.
Algoscale Technologies, Inc. provides ongoing analytic, development, and data science support for an analytics firm.
5.0 / 5 · 12 reviewsISO 27001
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