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Unlock the Power of Microsoft Cloud

Microsoft’s Data & AI ecosystem

Microsoft Data & AI

At HAYNE.cloud, we empower organisations to harness the full potential of Microsoft’s Data & AI ecosystem. From scalable data engineering and warehousing on Microsoft Fabric to intelligent AI-powered analytics, our team delivers end-to-end solutions that drive insight and innovation.

HC – Mickey

Hi, Mickey here, Cloud Operations Manager at HAYNE.Cloud!

I lead our service desk and cloud support teams, ensuring smooth day-to-day operations.

My work spans Microsoft 365 implementation, cloud migration, project management, and user adoption support, helping organisations modernise their digital environments and fully leverage the Microsoft ecosystem.

With over 17 years of IT experience across multiple sectors, I focus on a customer-first approach to service delivery, prioritising strong security foundations and building lasting client relationships to meet evolving workplace needs.

Certification:

ITIL Foundation, MS 900, MD 100, MD 101

Get started

Modern Workplace-min

Why choose HAYNE.cloud?

End to end capability

From strategy and architecture to implementation, optimisation and support.

Committed support

Proactive governance, monitoring, and 24/7 managed services.

Cultural alignment

Collaborative, transparent teams that embed with yours.

Microsoft Data & AI unleashing business potential.

Microsoft Fabric Implementation

Get started with a guided setup of Lakehouse, Data Warehouse, Data Science, Real-Time Analytics, and Power BI—all built on Microsoft Fabric’s intelligent data platform.

Data Landing Zone Design

Secure, scalable environments for your data lakes, warehouses, and streaming workloads—ensuring foundations are robust and future-proof.

DataOps & CI/CD

Implement automated pipelines, shared semantic models, and professional-grade dev/test/prod environments to streamline data operations.

Lakehouse & Warehouse Design

Create modular, storage-efficient architectures with Delta Lake, tuned for workloads from 100 GB to petabytes.

ETL & Data Modelling

Design performant pipelines with Fabric Data Factory or Synapse, and build robust star, snowflake, or dimensional models.

Analytics & Power BI

Deploy dashboards, reports, and self-service analytics with centralised governance, plus real-time analytics through Fabric’s native streaming.

Embedded Analytics

Integrate tailored BI dashboards into your internal or customer-facing platforms for a seamless data experience.

AI & Machine Learning

Provision ML infrastructure, develop models, and incorporate MLOps for lifecycle management—plus integrate Azure Cognitive Services like OpenAI, vision, and language.

Migration & Modernisation

Assess platforms, execute lift-and-shift migrations, re-platform ETL workloads onto Fabric, and optimise costs with auto-scaling strategies.

Been collaborating with HAYNE Cloud for just over a year now, exceptional service and support. The team has been absolutely fantastic to work with. Their expertise and dedication have made a significant positive impact on our projects. They bring a wealth of knowledge and reliability to the table. If you’re looking for a professional and dependable team, I highly recommend HAYNE Cloud!

– Sajid Pandore, IT Technical Lead, Gloucestershire County Council

Browse Our Commonly Asked Questions

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What is Microsoft Fabric, and how can it help my business?
Microsoft Fabric is an end-to-end analytics platform combining data engineering, data warehousing, data science, real-time analytics, and Power BI into a unified solution. By implementing Fabric, your business can centralise data, simplify architecture, and accelerate insights.
How long does a typical data warehouse migration take?
The duration varies depending on the complexity and size of your current data estate. A small-to-medium migration can take as little as 4–8 weeks, while larger, enterprise-scale projects may extend to several months. Our team will provide a detailed timeline after an initial assessment.
Can HAYNE.cloud help us build AI models even if we don’t have in-house data scientists?
Yes—our experts can design, develop, and deploy machine learning models tailored to your business needs. We’ll also train your team on maintaining and improving these models or manage them for you as part of our ongoing support.
How do you ensure our data remains secure during migration and in the cloud?
We use industry best practices and Microsoft’s own security frameworks, including role-based access, data encryption, and continuous monitoring. Our Data Landing Zone designs ensure secure, compliant environments from the start of your project.