From Source to Warehouse: Optimizing SQL Server for Hybrid Data Strategies

ON-DEMAND EVENT

For SQL Server professionals, today’s data landscape brings mounting complexity: hybrid environments, mismatched schemas, siloed operational data, and the burden of manual pipeline maintenance. Traditional approaches like SSIS often require heavy scripting and ongoing upkeep, leaving teams struggling to keep up with business demands.

In this session, discover how CData Sync streamlines SQL Server data integration—whether you’re moving operational data into cloud platforms like Snowflake for analytics or using SQL Server itself as a centralized data warehouse. With built‑in Change Data Capture (CDC), you can replicate data efficiently without full refreshes, minimizing system impact and latency.

We explore how to:

• Eliminate full refreshes with built‑in Change Data Capture (CDC) for near real‑time replication

• Use Open Mirroring to deliver SQL Server data directly into OneLake for Fabric analytics

• Control costs when piping data from on‑prem SQL Server to cloud platforms

• Resolve schema mismatches and simplify hybrid data management

Learn how CData Sync enhances your SQL Server workflows, outpaces the limitations of SSIS, and unlocks new possibilities for analytics and business insights.

Fill in the form to access this on-demand session.