Last Chance to Register - Building Robust and Scalable Data Pipelines for Snowflake

11AM PT, Thursday | November 21st REGISTER NOW     Hi David, Loading data from disparate sources - structured, and unstructured, cloud service APIs, on-prem databases, streaming, or devices (IoT) is a critical step in building your Data Warehouse. Delivering high quality data requires designing robust data pipelines that are resilient to errors, adapts to schema changes, provides flexibility to transform data and nested structures, auto-scales to meet peak loads, and provides complete transparency on status & health. Join us in this Product Hour to learn how you can use Workato to set up data pipelines for managing initial loads, change data capture, handle exceptions, and design recovery from failures with no data loss. You will learn how to: Design data pipelines for initial load/migration Setup data pipelines for change data capture (CDC) Templates for job, error handling, and DQ checks Automate recovery, and reruns Reduce operational footprint with automation     SPEAKER: KYLE TAN Product Marketing, Workato     Can't attend this webinar? Register here anyway to receive a recording of the presentation.     REGISTER NOW

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