Azure Synapse Analytics Development

info What Is Synapse?

One Workspace Instead of Five Tools

Most analytics stacks are assembled from separate parts: one tool to ingest, another to store, another for Spark, another for BI. Azure Synapse collapses those into a single workspace where the pieces are already wired together.

For teams already invested in Microsoft — Azure AD, Power BI, SQL Server skills — that integration is the whole point. Your existing T-SQL knowledge transfers directly, and governance runs through the identity system you already administer.

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Ingest, Store, Analyse, Visualise

One workspace covers the whole chain — fewer moving parts, fewer integration seams to break.

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SQL and Spark, Side by Side

Analysts write T-SQL, engineers write PySpark — against the same data, in the same workspace.

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Microsoft-Native Governance

Azure AD, Purview and Power BI plug straight in — no bolt-on identity or catalogue layer.

auto_awesome Why Synapse?

Everything in One Place

The capabilities that make Synapse the natural choice on Azure.

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Dedicated SQL Pools

Provisioned MPP warehousing with predictable performance for your core reporting layer.

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Serverless SQL

Query Parquet and CSV straight out of the data lake, paying only per terabyte scanned.

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Apache Spark Pools

Managed Spark for heavy transformation, data science and streaming — no cluster babysitting.

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Synapse Pipelines

The Data Factory engine built in: 90+ connectors and orchestration without a separate service.

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Power BI Integration

Author and publish reports from inside the workspace, against a governed model.

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Enterprise Security

Azure AD, private endpoints, column-level security and dynamic data masking as standard.

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End-to-End Synapse Services

From workspace design to reports your board actually opens.

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Workspace Architecture

Pools, lake layout and workspace structure designed around your teams and workloads.

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Migration

Move from SQL Server, APS or legacy warehouses onto Synapse with validated parity.

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Pipelines & Integration

Synapse Pipelines and Data Factory ingesting from ERP, CRM, APIs and on-prem sources.

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Performance Tuning

Distribution, indexing and result-set caching for pools that have quietly gone slow.

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Governance & Purview

Lineage, cataloguing, masking and RBAC so regulated data stays defensible.

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Power BI Enablement

Semantic models and reports built on a governed layer — one number, one meaning.

Ready to Unify Your Analytics?

Let our engineers bring your warehousing, big data and BI into a single Azure Synapse workspace.

Talk to Our Experts Back to Data Warehousing

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Frequently asked questions

What is Azure Synapse Analytics? expand_more

Synapse is the Microsoft analytics platform that unites data warehousing, big-data processing and data integration, letting you query relational and lake data together with SQL or Spark in one workspace.

Can you migrate our warehouse to Synapse? expand_more

Yes. We migrate from SQL Server, other warehouses and legacy ETL, rebuild pipelines in Synapse, and validate data and reports so the transition is safe.

How does Synapse fit the Microsoft stack? expand_more

It integrates tightly with Azure Data Lake, Power BI, Purview and Azure ML, so organisations already on Microsoft can build governed analytics without stitching separate tools together.

Dedicated or serverless SQL pools? expand_more

We use serverless pools for exploratory, pay-per-query workloads and dedicated pools for predictable high-performance warehousing, and often combine both to balance cost and speed.