Unlock the full value of your data with modern lakehouse architecture, unified analytics, and real-time insights powered by Microsoft Fabric, Synapse, and Databricks.
Azure Data Engineering is the foundation of modern business intelligence. Whether you are consolidating data from dozens of sources, building real-time analytics pipelines, or migrating from on-premises data warehouses, Microsoft provides a comprehensive set of tools — Microsoft Fabric, Azure Synapse Analytics, and Azure Databricks — to build scalable, cost-effective data platforms. Veriland Consulting designs and implements data solutions that turn raw data into actionable business insights.
Organisations that have data scattered across multiple systems — ERP, CRM, spreadsheets, databases, and third-party platforms. Companies still relying on manual spreadsheet reporting or on-premises SQL Server. Businesses that need real-time dashboards, advanced analytics, or AI/ML capabilities built on clean, governed data.
Design and implement lakehouse architecture using OneLake and Delta Lake for unified batch and streaming data storage with ACID transactions.
Build automated data pipelines with Data Factory, Synapse Pipelines, or Databricks workflows to ingest, transform, and load data from any source.
Enable data science and machine learning workloads with Synapse Spark, Databricks notebooks, and Azure Machine Learning integration.
Create interactive Power BI dashboards connected to your lakehouse for real-time visibility, self-service exploration, and AI-powered insights.
Microsoft Fabric uses a capacity-based pricing model where you purchase compute units (CUs) that can be shared across all workloads — data engineering, analytics, BI, and data science. This eliminates the need to provision and pay for separate services. As Microsoft controls and regularly updates pricing, contact Veriland for the latest rates and right-sizing guidance tailored to your requirements.
| Feature | F2 (Small) | F8 (Medium) | F64 (Large) | F256 (Enterprise) |
|---|---|---|---|---|
| Compute Units (CUs) | 2 | 8 | 64 | 256 |
| OneLake Storage | Included | Included | Included | Included |
| Data Factory Pipelines | ||||
| Synapse Data Warehouse | ||||
| Power BI Embedded | ||||
| Real-Time Analytics | Limited | |||
| Copilot Features |
Microsoft Fabric pricing is capacity-based and managed by Microsoft. Contact Veriland for current pricing, reserved capacity discounts, and sizing guidance.
Not sure where to start? Veriland offers a Data Platform Assessment that analyses your current data volumes, workloads, and growth projections to recommend the optimal Fabric capacity tier. Book a data assessment.
The modern data platform market offers several strong options. Here is how Microsoft Fabric and Azure Synapse compare with other popular data analytics platforms.
| Feature | Microsoft Fabric / Synapse | Snowflake | AWS Redshift | Google BigQuery | Databricks (standalone) |
|---|---|---|---|---|---|
| Unified Analytics Platform | |||||
| Built-in BI (Power BI) | |||||
| Data Lakehouse Architecture | |||||
| Native D365/M365 Integration | |||||
| Real-Time Analytics | |||||
| AI/ML Integration | |||||
| Copilot / Generative AI | |||||
| Pay-per-Use Pricing | |||||
| UK Data Residency |
Comparison based on publicly available feature information. Individual capabilities may vary by edition and configuration.
Whether you are moving from on-premises infrastructure, legacy data warehouses, or other cloud platforms, Veriland provides structured migration paths to modern Azure data platforms.
Migrate SQL Server databases and data warehouses to Azure SQL, Synapse, or Fabric with minimal downtime. Includes schema migration, data transfer, and query optimisation.
Replace legacy data warehouses (Oracle, Teradata, IBM) with modern lakehouse architecture. Includes data model redesign, ETL migration, and report migration.
Replace manual spreadsheet-based reporting with automated data pipelines feeding interactive Power BI dashboards connected to live data sources.
Migrate from Snowflake, AWS Redshift, or BigQuery to Microsoft Fabric. Includes data transfer, pipeline recreation, and report migration to Power BI.
Every data migration includes detailed assessment, parallel running, validation testing, and performance benchmarking to ensure your new platform meets or exceeds existing capabilities. Discuss your data migration with us.
Azure data platforms integrate with virtually any data source — from D365 and SQL Server to third-party SaaS applications, flat files, and streaming data. Microsoft Fabric's OneLake provides a single storage layer accessible by all analytics tools.
Azure Data Engineering powers data-driven decision making across every industry. Here are common data platform use cases by sector.
Regulatory reporting, risk analytics, fraud detection, customer analytics, and real-time trading dashboards.
Production analytics, supply chain visibility, IoT data ingestion, quality control dashboards, and demand forecasting.
Customer analytics, inventory optimisation, sales forecasting, personalisation engines, and omnichannel reporting.
Veriland Consulting takes a structured approach to data platform design and implementation that prioritises business outcomes, data quality, and cost efficiency.
Audit your current data landscape, identify data sources, assess data quality, and define your analytics requirements and KPIs.
Design your target data platform architecture including lakehouse structure, data models, pipeline patterns, security, and governance.
Build data pipelines, migrate existing data, implement transformations, and connect Power BI for business intelligence.
Monitor platform performance, optimise costs, scale capacity as data volumes grow, and enable new analytics use cases over time.
“Veriland migrated our on-premises SQL data warehouse to Microsoft Fabric in 10 weeks. Our finance team now has real-time dashboards instead of waiting days for manual reports.”
Chief Data Officer, CDO at UK Financial Services Firm
Microsoft Fabric is a unified analytics platform that brings together data engineering, data science, real-time analytics, and business intelligence in a single SaaS experience. Built on OneLake, it provides a single data lake for your entire organisation and eliminates the need to manage separate services.
Microsoft Fabric is the newest offering and provides a unified experience for all analytics workloads. Azure Synapse Analytics focuses on data warehousing and big data analytics. Azure Databricks is optimised for data engineering and data science workloads. Veriland helps you choose the right platform based on your requirements.
Costs depend on the platform and capacity tier. Microsoft Fabric uses a capacity-based model, while Synapse and Databricks use consumption-based pricing. As Microsoft manages and regularly updates pricing, we recommend contacting Veriland for up-to-date cost modelling tailored to your specific requirements.
Yes. Veriland has experience migrating organisations from Snowflake, AWS Redshift, and BigQuery to Microsoft Fabric. We handle data transfer, pipeline recreation, and report migration. The process typically takes 8 to 16 weeks depending on data volume and complexity.
Not necessarily. Azure data platforms can coexist with on-premises SQL Server. Many organisations start by building a data lakehouse alongside their existing databases and gradually migrate workloads. Veriland designs migration paths that minimise disruption.
A data lakehouse combines the flexibility of a data lake with the performance and governance of a data warehouse. It stores raw and processed data in open formats (like Delta Lake) and supports both SQL analytics and data science workloads without duplicating data.
A foundational data platform with core pipelines and dashboards typically takes 8 to 14 weeks. Enterprise-scale implementations with dozens of data sources, complex transformations, and advanced analytics may take 3 to 6 months. Veriland uses agile sprints to deliver value incrementally.
Yes. Power BI supports over 500 data connectors including SQL Server, Excel, SharePoint, D365, Salesforce, Google Analytics, and custom REST APIs. When combined with Fabric or Synapse, Power BI delivers real-time dashboards connected to your unified data platform.
Azure data platforms include built-in security features including encryption, role-based access control, row-level security, and integration with Microsoft Purview for data classification and lineage. Veriland implements governance frameworks as part of every data platform engagement.
The best starting point is a Data Platform Assessment — a structured engagement where Veriland audits your current data landscape, identifies high-value analytics use cases, and designs a target architecture with a phased implementation roadmap.
Arrow replaced a legacy EDI platform with Azure Integration Services — modernising B2B trading partner communications and unlocking real-time supply chain visibility across their operations.
Brighton Harwood partnered with Veriland to build an AI-powered investment intelligence platform on Azure AI Foundry — extracting insight from 15 years of unstructured deal data using fine-tuned models, RAG architecture, and Dynamics 365 Finance & Operations.
Graham & Brown replaced an expensive legacy EDI system with Azure Logic Apps and Integration Services — dramatically reducing costs while improving reliability and speed of B2B trading partner communications.
Book a free Data Platform Assessment to understand how Microsoft Fabric, Synapse, or Databricks can transform your analytics capabilities.
Or call us directly: 01625 569 777
