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The Ultimate Guide to Snowpark

You're reading from   The Ultimate Guide to Snowpark Design and deploy Snowflake Snowpark with Python for efficient data workloads

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805123415
Length 254 pages
Edition 1st Edition
Languages
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Authors (2):
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Shankar Narayanan SGS Shankar Narayanan SGS
Author Profile Icon Shankar Narayanan SGS
Shankar Narayanan SGS
Vivekanandan SS Vivekanandan SS
Author Profile Icon Vivekanandan SS
Vivekanandan SS
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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1: Snowpark Foundation and Setup
2. Chapter 1: Discovering Snowpark FREE CHAPTER 3. Chapter 2: Establishing a Foundation with Snowpark 4. Part 2: Snowpark Data Workloads
5. Chapter 3: Simplifying Data Processing Using Snowpark 6. Chapter 4: Building Data Engineering Pipelines with Snowpark 7. Chapter 5: Developing Data Science Projects with Snowpark 8. Chapter 6: Deploying and Managing ML Models with Snowpark 9. Part 3: Snowpark Applications
10. Chapter 7: Developing a Native Application with Snowpark 11. Chapter 8: Introduction to Snowpark Container Services 12. Index 13. Other Books You May Enjoy

Developing resilient data pipelines with Snowpark

A robust and resilient data pipeline will equip organizations to source, collect, analyze, and effectively use insights to grow business and deliver cost-saving business processes. Traditional data pipelines are difficult to manage and do not support the organization’s evolving data needs. Snowpark solves problems that conventional data pipelines have by running them natively on the Snowflake Data Cloud and making extracting information from data in the Data Cloud easier and faster. This section will cover the various characteristics of resilient data pipelines, how to develop them in Snowpark, and their benefits.

Traditional versus modern data pipelines

A significant challenge of a traditional data pipeline is that it takes considerable time and cost to develop and manage, with high technical debt. It also consists of multiple tools that take much time to integrate. Due to the complexity of the solution, there is a possibility...

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