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Learn how to build a production-grade streaming pipeline for real-time data ingestion into Snowflake using StreamNative and Snowpipe Streaming in this 29-minute conference talk. Discover the architectural decisions behind transitioning from batch-based to real-time streaming ingestion, exploring the combination of StreamNative's streaming platform with Snowflake's Snowpipe Streaming capabilities to achieve high-throughput, low-latency data processing. Examine practical solutions for handling schema evolution, ensuring delivery guarantees, and managing traffic spikes at scale while optimizing for reduced latency and cost efficiency. Explore the implementation of comprehensive observability and monitoring systems built on top of the streaming pipeline, with real-world insights from Motorq's experience achieving 60% reduction in infrastructure costs and significantly improved data availability for connected vehicle analytics. Gain actionable guidance on building cost-effective real-time ingestion architectures, including considerations for schema registry implementation, direct iceberg table integration, and migration strategies from Event Hub to Kafka on Pulsar environments.
