Build an Automated Data Pipeline on Snowflake скачать в хорошем качестве

Build an Automated Data Pipeline on Snowflake

**VIRTUAL HANDS-ON LAB Build An Automated Data Pipeline With Snowpark** Follow Along with the Hands On Lab: https://developer.ascend.io/docs/crea... 00:00 Introduction 01:49 What is Data Pipeline Automation? 09:08 Snowpark v. SQL 25:42 Build an Automated Data Pipeline 43:18 Q&A Snowpark is a powerful language for data manipulation, ML model training, and so much more. But it's only as fast as the data pipeline automation behind it. Learn how to get more of these workflows into production at off of your maintenance backlog in this hands-on lab. Register now to attend live or receive the webinar replay. About the Lab Snowpark is the ideal data engineering language. It’s flexible, easy to use, and has a rich ecosystem of libraries and tools. That’s why today’s data teams use it for anything data-related: pipelines, data transformation, machine learning, app development, and more. Now with native support in Snowflake’s Data Cloud, teams are using Python libraries to get more control over advanced workflows. The only challenge is managing the data pipelines that feed these models. Somehow they still seem to break on a regular basis, causing constant updates to the code and manual reruns of the pipeline. Ascend.io takes away the hassle of manual pipeline orchestration by automating everything about these data flows, including change propagation and error recoveries. This lets you focus on the fun parts of a Snowpark pipeline without any of the drag. Join this instructor-led, virtual, hands-on lab to learn how to build one of these automated Snowpark pipelines in just 15 minutes. This lab is perfect for data professions familiar with using SQL and Python for data engineering and looking to learn more about the specifics of Snowpark libraries. Familiarity with Python is optional. We will provide you with code for the lab.