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Snowflake Demo: Event-Driven Data Ingestion with Snowpipe

By: Pallari Mujumdar

In this demo, Pallari from Green Leaf Consulting walks through how to build a near real-time data ingestion pipeline in Snowflake using Snowpipe and Google Cloud Storage.

The video covers how to:

  • Create a Google Cloud Storage bucket for incoming files
  • Set up storage integration between GCS and Snowflake
  • Configure notification integration and Pub/Sub
  • Create a Snowpipe with auto-ingest enabled
  • Automatically load new files into Snowflake as soon as they arrive
  • Move from manual data loads to an event-driven architecture

If your team is looking to reduce latency, eliminate repetitive manual pipeline runs, and modernize ingestion workflows, this demo shows how Snowpipe can help simplify the process.

At the end of the demo, Pallari uploads a new file and shows how Snowflake automatically ingests the new records without rerunning the pipeline.

Watch the full demo below!

Data Analytics Specialist
Pallari is a recent graduate from Penn State University where she majored in Information Science & Technology and dual minors in Business and Supply Chain Management. She is a passionate individual who is eager to learn new things and believes on the path of hard work. She believes that success is a moving target, so one must have the potential of giving their best in every work they do. Volunteering for multiple activities in the University which helped her develop leadership skills and multi-tasking abilities. She enjoys working with data to extract meaningful insights from it. The most interesting part in analyzing data is when you get the surprises that you never expected. She is interested in the fields of Project Management, Business Analytics, Data Analytics and has demonstrated her experience through internships and undergraduate projects.

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