Register for Your Free Live Webinar Now:

"From Batch to Real-Time: What It Actually Takes to Modernize Your Data Pipelines"

April 21, 2026, 7:00am PT | 10:00am ET

Most data teams know their pipelines need to evolve. Batch loads that run overnight, manual workflows stitched together over the years, legacy tooling that was never designed for the demands of real-time analytics or the AI agents that are about to depend on them. But the challenge is figuring out where to start, what to prioritize, and how to modernize without turning it into a six-month replatforming project.

The stakes are higher than they used to be. Agentic RAG systems retrieve and reason over live enterprise data and they're only as reliable as the pipelines feeding them. Stale batch data, inconsistent schemas, and siloed sources don't just slow down your analysts. They cause agents to retrieve the wrong context and fail in production.

In this session, Kim Fessel joins Jess Ramos of Big Data Energy and Manish Patel, GM of Data Integration at CData, to talk through what pipeline modernization actually looks like in practice. We'll cover when CDC is the right move versus when it's overkill, how to approach hybrid environments where legacy and cloud systems need to coexist, and what separates teams that modernize incrementally from those that get stuck in planning mode.

We'll also walk through how CData Sync fits into this, from CDC across sources like SQL Server and Oracle, to pipeline orchestration and delivery into open table formats like Delta Lake and Iceberg, the same formats underpinning retrieval in modern agentic RAG architectures.

You'll walk away knowing how to:

• Assess which pipelines to modernize first based on actual business impact
• Use CDC to move from batch to incremental replication without disrupting production
• Deliver data into modern platforms like Snowflake, Databricks, and Fabric
• Take an incremental approach that doesn't require ripping out what's already working
• Understand what AI-ready data infrastructure looks like and how close you already are

Can't join us live? Register anyway and we'll send you a recording after the session. By registering, you consent to receiving email communications from Towards Data Science and CData. You may opt out at any time.

Offered Free by: Towards Data Science + CData
See All Resources from: Towards Data Science + CData