Modernising Data Architecture with Streaming CDC Expanding analytics requirements have increased the appetite for massive data volumes. However, these data flows can create bottlenecks, preventing timely and modern analytics innovations such as machine learning. This is where streaming Change Data Capture (CDC) comes in.

By using CDC to power next-generation streaming environments, we can reconfigure data architectures to enable efficient, scalable and real-time data integration that protects production workloads. In this webinar, we discuss the market need for streaming CDC, how it differs from other techniques, and use cases and case studies.

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