What is an Azure consultant?
An Azure consultant is a cloud specialist who advises organizations on designing, deploying, and optimizing solutions on Microsoft Azure. In the context of data warehousing, an Azure consultant assesses your existing data infrastructure, recommends the right Azure services — such as Synapse Analytics, Data Factory, and Data Lake Storage — and leads implementation to ensure your data warehouse is scalable, secure, and aligned with business goals.
Does Azure have a data warehouse?
Yes. Microsoft Azure offers Azure Synapse Analytics as its primary enterprise data warehousing solution. It combines big data analytics and data warehousing into a single platform, enabling SQL-based querying, integration with Azure Data Lake Storage, and seamless connectivity to Power BI for visualization. It supports both serverless and dedicated resource models, making it suitable for organizations of varying scale.
Absolutely. Azure Data Factory is Microsoft's primary cloud-based ETL and ELT orchestration service, enabling you to ingest, transform, and load data from hundreds of sources into your Azure data warehouse. Beyond Data Factory, Azure Synapse Pipelines and Databricks on Azure provide additional ETL/ELT capabilities for complex transformations, real-time streaming, and high-volume data processing workflows.
How long does an Azure data warehouse implementation typically take?
Timelines vary based on complexity. A foundational Azure Synapse Analytics setup with basic ETL pipelines can take 4–8 weeks. A full-scale enterprise data warehouse migration — including legacy EDW decommissioning, governance framework setup, and BI integration — typically takes 3–6 months. Cybic's phased delivery approach ensures value is delivered at each milestone rather than only at project completion.
What is the difference between Azure Synapse Analytics and Azure SQL Data Warehouse?
Azure SQL Data Warehouse was Microsoft's original cloud data warehousing product. It has since been evolved and rebranded into Azure Synapse Analytics, which offers a significantly expanded feature set — including integrated Apache Spark pools, serverless SQL, built-in data integration pipelines, and unified analytics capabilities. All new data warehousing projects on Azure should leverage Synapse Analytics as the modern standard.
How does Cybic ensure data security and compliance in Azure data warehousing projects?
Security and compliance are embedded into the architecture from day one — not retrofitted after deployment. Cybic implements role-based access controls (RBAC), end-to-end data encryption in transit and at rest, full audit trails, and regulatory alignment with frameworks including GDPR, HIPAA, and CCPA. Azure's native security features such as Microsoft Defender for SQL and Private Link are also incorporated as standard practice.
Can Cybic migrate our existing on-premises data warehouse to Azure?
Yes. Cybic specializes in legacy EDW modernization — migrating on-premises data warehouses from platforms such as SQL Server, Oracle, Teradata, or IBM Netezza to Azure Synapse Analytics. Our process includes schema conversion, ETL pipeline re-engineering, data validation, parallel run testing, and cutover planning — minimizing downtime and data integrity risks throughout the migration lifecycle.
Does Cybic offer ongoing support after the Azure data warehouse is deployed?
Yes. Cybic provides post-deployment support covering performance monitoring, pipeline optimization, capacity management, and governance updates. As your data volumes and business requirements grow, our team can extend the architecture, add new data sources, update transformation logic, and ensure your Azure data warehouse continues to operate at peak efficiency with minimal disruption to business operations.