For organizations running on Microsoft 365, Dynamics, and Azure, building the data platform on Azure is a natural choice. But Microsoft's data stack has changed quickly — Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and now Microsoft Fabric all overlap — and many teams aren't sure which to use, whether to migrate, or how to keep costs and governance under control.
Our Azure data services help you make those decisions clearly and build a platform that works. We design your Azure data architecture, implement Microsoft Fabric or Synapse, build pipelines with Data Factory, set up governance with Microsoft Purview, connect Power BI, and plan migrations from on-premise SQL Server or older Azure services.
What are Azure data services? Azure data services help organizations design, build, and optimize data and analytics platforms on Microsoft Azure. Consultants work with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Databricks, Event Hubs, Microsoft Purview, and Power BI — designing architecture, building pipelines and warehouses, migrating from SQL Server and legacy systems, applying governance, and connecting Azure AI services.
Azure Data Services at a Glance
Question | Answer |
|---|---|
What it is | Designing, building, migrating, and optimizing data platforms on Microsoft Azure |
Core deliverables | Azure data architecture, Fabric or Synapse implementation, Data Factory pipelines, lakehouse or warehouse, Purview governance, Power BI integration, documentation |
Platforms | Microsoft Fabric (OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Intelligence), Azure Synapse Analytics, Azure Databricks |
Storage and databases | Azure Data Lake Storage Gen2, Azure SQL Database, SQL Managed Instance, Cosmos DB |
Integration and streaming | Azure Data Factory, Event Hubs, Stream Analytics |
Engagement models | Azure data architecture review, platform build, migration (SQL Server, Synapse to Fabric), ongoing support |
Signs You Need Azure Data Help
You're unsure about Fabric vs Synapse. You need a clear recommendation and migration path.
SQL Server is reaching its limits. On-premise servers are ageing, or reporting is slowing the application.
Data Factory pipelines are fragile. Failures, long runtimes, and little monitoring.
Power BI is doing too much. Heavy transformations live in Power BI instead of the data platform.
Governance is unclear. Sensitive data isn't classified or controlled across Azure services.
Costs are hard to predict. Capacities and compute are sized by guesswork.
Our Azure Data Services
Azure data architecture
We design a target architecture across ingestion, storage, processing, governance, and BI, and choose between Fabric, Synapse, and Azure Databricks based on your workloads and skills.
Microsoft Fabric implementation
We set up Fabric workspaces, OneLake, lakehouses, warehouses, Data Factory pipelines, and Power BI semantic models, with capacity sizing and governance.
Azure Synapse Analytics
We build and optimize Synapse dedicated and serverless SQL pools, Spark pools, and pipelines, and plan migrations to Fabric where it makes sense.
Azure Data Factory pipelines
We build parameterized, monitored Data Factory pipelines for batch ingestion from SQL Server, Dynamics, SaaS tools, files, and APIs, with self-hosted integration runtimes for on-premise sources.
Azure Data Lake and lakehouse
We design Azure Data Lake Storage zones and Delta tables in Fabric or Azure Databricks. See Databricks consulting for Azure Databricks work.
SQL Server modernization
We migrate on-premise SQL Server databases and warehouses to Azure SQL, SQL Managed Instance, or Fabric through our database migration process.
Streaming on Azure
We build real-time pipelines with Event Hubs, Stream Analytics, and Fabric Real-Time Intelligence.
Governance with Microsoft Purview
We classify and catalog data, track lineage, and apply sensitivity labels and access policies across Azure and Fabric.
Power BI integration
We move heavy transformations out of Power BI into the platform and build clean semantic models on top. See Power BI consulting.
Azure AI integration
We connect governed data to Azure AI services and Azure OpenAI for RAG, agents, and AI features.
Fabric vs Synapse vs Azure Databricks
Microsoft Fabric | Azure Synapse Analytics | Azure Databricks | |
|---|---|---|---|
What it is | Unified SaaS analytics platform with OneLake and built-in Power BI | Analytics service combining SQL pools, Spark, and pipelines | Lakehouse platform for data engineering, analytics, and ML |
Best fit | Microsoft-centric organizations wanting one integrated platform | Existing Synapse deployments | Heavy data engineering, streaming, and ML workloads |
Pricing model | Capacity-based | Per pool and per query | Consumption-based compute units |
Direction | Microsoft's main focus for new analytics investment | Mature, with Fabric as the recommended path for many new projects | Strong independent roadmap across clouds |
We help you choose — or combine — based on your workloads, team, and existing investments.
How It Works
Step 1: Assess
We review your Azure and on-premise data estate, workloads, Power BI usage, and costs.
Step 2: Design
We design the target architecture and choose platforms for each workload.
Step 3: Build
We set up storage, pipelines, warehouses or lakehouses, and governance.
Step 4: Migrate and validate
We move data and workloads and validate results against existing reports.
Step 5: Optimize
We size capacities, tune pipelines and queries, and set cost alerts.
Step 6: Hand over
You receive documentation, runbooks, and training, with optional ongoing support.
What You Get
A clear Azure data architecture and platform recommendation
Working Fabric, Synapse, or lakehouse environment
Monitored Data Factory pipelines
Purview governance and access controls
Clean Power BI semantic models on the new platform
Documentation and training for your team
Who This Is For
Microsoft-centric organizations | Teams on on-premise SQL Server | Existing Synapse users | Power BI-heavy companies |
|---|---|---|---|
Want one integrated data platform on Azure | Need to modernize and move to the cloud | Need a clear Fabric decision and migration plan | Need a proper data platform under their reports |
Why Work With Codersarts
The Microsoft data stack rewards clear decisions. We give objective recommendations on Fabric, Synapse, and Databricks, build pipelines and models properly, and connect everything to Power BI without overloading it. Our team covers data engineering, BI, and AI, so your Azure platform supports reporting and AI equally well.
Frequently Asked Questions
What are Azure data services?
Azure data services are Microsoft Azure's tools for storing, integrating, processing, governing, and analyzing data — including Microsoft Fabric, Synapse Analytics, Data Factory, Data Lake Storage, Azure SQL, Purview, and Power BI.
Should we use Microsoft Fabric or Azure Synapse?
For many new projects in Microsoft-centric organizations, Fabric is the recommended direction because it unifies storage, engineering, warehousing, and Power BI. Existing Synapse deployments can keep running or be migrated in phases. We recommend based on your workloads.
Can you migrate from Synapse to Fabric?
Yes. We assess your Synapse pools, pipelines, and reports, plan a phased migration, and validate results before switching.
Can you migrate on-premise SQL Server to Azure?
Yes. We migrate to Azure SQL Database, SQL Managed Instance, or Fabric, depending on compatibility needs and workloads, with minimal downtime.
Do you work with Azure Databricks?
Yes. Azure Databricks is a strong choice for heavy data engineering, streaming, and ML, and works alongside Fabric and Power BI.
How do we control Fabric or Azure costs?
Through right-sized capacities, pausing or scaling where possible, efficient pipelines and queries, and cost monitoring and alerts.
How long does an Azure data platform build take?
A focused build with core sources takes a few weeks. Larger platforms and migrations are delivered in phases.
How much do Azure data services cost?
An architecture review is a fixed-scope engagement. Builds and migrations are quoted based on sources, data volume, and the platforms involved.
Related Data Services
AWS Data Services — the equivalent platform on AWS
Data Warehouse Consulting — warehouse design across platforms
Data Governance — governance frameworks beyond the tools
Cloud Data Migration — move your data estate to Azure
Ready to Build on Azure the Right Way?
Tell us what you run on Microsoft today and where you want to go. We'll recommend the right Azure setup and what it would take.
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