VIRTUAL HANDS-ON LAB - 30 MINUTES
Automating your Snowflake Data Pipelines
Discover how to create automated data pipelines 10x faster on Snowflake. Ideal for SQL and PySpark experts seeking to optimize their data engineering processes.
About the Lab
Snowflake is the go-to platform for data engineering teams looking for scalability, performance, and flexibility. While Snowflake offers advanced capabilities for data storage and processing, the real challenge often lies in managing the data pipelines that fuel these systems.
Join us in this instructor-led, virtual, hands-on lab and learn how to build an automated Snowflake data pipeline in just 15 minutes.
Prerequisites
This lab is open for everyone to watch. However, to actively participate, you will need a free Ascend.io account and admin role access for a Snowflake account.
Familiarity with Python is optional. Code snippets for the lab activities will be provided.
About the Host
Ayush Maganahalli
Data Engineer @ Ascend.io
Ayush Maganahalli is an accomplished data engineer with extensive experience in several analytics and software development roles.
Harnessing his expertise in Python, SQL and Java, Ayush advises Ascend customers to get the most value from their data and significantly accelerate their data pipeline development. He is committed to inclusive tech education through leadership roles in organizations like ANova and Codeology at UC Berkeley.
More Resources
Beyond Garbage Collection: Tackling the Challenge of Orphaned Datasets
Explore a proactive solution for managing orphaned datasets to boost data integrity while reducing wasteful maintenance activity.
Data Pipeline Optimization: How to Reduce Costs
Data pipeline optimization helps cut costs, enhance efficiency, pinpoint hotspots, and drive data-driven success.
Data Partitioning
Data partitioning creates subsets of the data that improve performance and reduce cost. Discover the powerful partitioning capabilities of Ascend.
