Build Event-Driven Data Pipelines with Snowflake & Airflow
Jake McGrath, Senior Software Engineer at Hike2, guides you through constructing an event-driven data pipeline from ingestion to transformation.
Jake McGrath
สร้างบัญชีฟรีของคุณ
ฝึกฝนและตรวจสอบความก้าวหน้าของคุณ
ดำเนินการต่อด้วย Googleเมื่อดำเนินการต่อ ถือว่าคุณยอมรับ ข้อกำหนดการใช้งานและ นโยบายความเป็นส่วนตัว และยอมรับว่าข้อมูลของคุณจะถูกจัดเก็บในสหรัฐอเมริกาที่เกี่ยวข้อง
บทแนะนำ
Building Data Pipelines in Snowflake: A Beginner-Friendly Guide
Start from scratch and build end-to-end data pipelines in Snowflake by following this guide. We will cover the basics of building automated and efficient Snowflake pipelines.
บทแนะนำ
Building an ETL Pipeline with Airflow
Master the basics of extracting, transforming, and loading data with Apache Airflow.

บทแนะนำ
Getting Started with Apache Airflow
Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.



Data pipelines are the foundation of modern analytics and machine learning. But making them reliable, scalable, and efficient requires the right combination of tools and design principles. In this hands-on session, you’ll learn how to build and orchestrate a complete data pipeline using Snowflake for data warehousing and Airflow for scheduling and workflow automation.
In this code-along webinar, Jake McGrath, Senior Software Engineer at Hike2, guides you through constructing an event-driven data pipeline from ingestion to transformation. You’ll explore how to automate tasks, manage dependencies, and ensure your pipelines are robust enough for production workloads.
Key Takeaways:
Session Resources (including link to GitHub Repo)