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Explore modern patterns that simplify real-time data ingestion into your lakehouse architecture in this 28-minute conference talk from Databricks. Begin by examining the evolution of the data ingestion landscape and understand the growing need to embed data flows closer to operational sources, particularly for IoT devices, clickstreams, and telemetry systems. Discover how to "shift left" on ingestion processes, making it easier to integrate analytics and AI capabilities directly into operational systems rather than treating them as secondary considerations. Learn how this architectural approach can reduce unnecessary data hops while creating simpler, more scalable systems that grow with your operations. Gain practical insights through a comprehensive decision framework designed to help you select the most appropriate ingestion options for your specific use cases. The session concludes with a live Q&A segment to address implementation questions and help you get started quickly with these modern ingestion patterns.
