Building Real-time Streaming Data Pipelines on Snowflake: What You Need to Know

Unlock the full potential of Snowflake with our ongoing Power Up Series, your fast track to mastering the platform’s most transformative features.

Join us for the next installment of our best practices series, where we’ll dive into streaming data pipelines and explore how you can build highly efficient, low-latency data flows directly within the Snowflake AI Data Cloud. This webinar will empower you to streamline your data engineering workflows and maximize your impact, demonstrating the cost optimization and performance benefits you can achieve.

You’ll learn how to:

• Unify batch and streaming ingestion and processing within a single architecture, eliminating the need for complex, separate systems
• Define data transformations using SQL or Python, with Snowflake automatically managing dependencies and materializing results based on your freshness targets
• Achieve high-throughput, low-latency data ingestion using Snowpipe Streaming and Openflow, enabling near real-time analytics and new AI use cases

Don’t miss out on this opportunity to elevate your data strategy and empower your applications with immediacy and precision. Join us and continue your journey through the Power Up Series.