From Batch to Real-Time: How Data Teams Are Replacing SQL Server ETL Debt

On-demand Webcast Abstract

Data engineers today are under pressure to deliver reliable, real-time pipelines — but legacy tooling and fragmented architectures keep getting in the way.

If you’re facing these challenges, this session is for you:

  • Fragile, disconnected workflows? Sync Pipelines coordinates ingestion, transformation, and reverse ETL as ordered, repeatable workflows — no external orchestration required.
  • Stale or orphaned records in operational systems? CDC-powered replication and full reverse ETL delete support keep every downstream system aligned with your current data.
  • Locked into a single storage format? Sync natively supports both Delta Lake and Iceberg, so your data lands the way your architecture requires — in Fabric, Snowflake, Databricks, and more.
  • Drowning in SSIS maintenance? Automatic schema handling, production-grade API connectors, and out-of-the-box CDC replication replace the heavy scripting and constant upkeep.
  • No programmatic control over your pipelines? Sync API 2.0 delivers an automation-ready control surface — including LLM-driven orchestration through MCP.

See how CData Sync turns these pain points into solved problems and helps your team deliver faster, AI-ready analytics on SQL Server.

Speakers

Cameron Leblanc is a Senior Technology Evangelist at CData Software. Cameron began at CData three years ago in Technical Support before joining the Product Marketing team. Drawing from extensive customer interaction and technical experience with data integration platforms, Cameron specializes in translating complex technical solutions into real-world business outcomes.

Stanley Lui is an Associate Technical Product Marketer at CData.

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