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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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781805123415

Length 254 pages

Edition 1st Edition

Languages

Python

Tools

Snowflake

Concepts

Data Engineering

Authors (2):

Shankar Narayanan SGS

Vivekanandan SS

View More author details

Table of Contents (14) Chapters

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

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13. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Data Modeling with Snowflake

Serge Gershkovich

ISBN: 978-1-83763-445-3

Discover the time-saving benefits and applications of data modeling
Learn about Snowflake’s cloud-native architecture and its features
Understand and apply modeling techniques using Snowflake objects
Universal modeling concepts and language through Snowflake objects
Get comfortable reading and transforming semistructured data
Learn directly with pre-built recipes and examples
Learn to apply modeling frameworks from Star to Data Vault

Data Engineering with dbt

Roberto Zagni

ISBN: 978-1-80324-628-4

Create a dbt Cloud account and understand the ELT workflow
Combine Snowflake and dbt for building modern data engineering pipelines
Use SQL to transform raw data into...

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Authors (2)

Shankar Narayanan SGS

Shankar Narayanan SGS

Shankar Narayanan is a Technical Architect with over a decade of diverse experience leading and delivering large-scale Data and Cloud implementations for Fortune 500 companies across various industries. He has successfully implemented Snowflake Data Cloud for many organizations leading the customers to adopt Snowflake. He holds a bachelor's and master's degree in Computer science and holds many certifications in multi-cloud platforms and Snowflake. He is an award-winning blogger and actively contributes to various technical publications and open-source projects. For his technical contribution to the community, He has been selected as SAP Community Topic leader by SAP and is selected as one of the 72 Snowflake Data Heroes by Snowflake.

See other products by Shankar Narayanan SGS

Vivekanandan SS

Vivekanandan SS

Vivekanandan spearheads the GenAI enablement team at Verizon, leveraging over a decade of expertise in Data Science and Big Data. His professional journey spans across building analytics solutions and products across diverse domains, and proficient in cloud analytics and data warehouses. He holds a bachelor's degree in Industrial engineering from Anna University, a long distance program in Big Data analytics from IIM, Bangalore, and a master's in Data Science from Eastern University. As a seasoned trainer, he imparts his knowledge, specializing in Snowflake and GenAI, also a data science guest faculty and advisor for various educational institutes. His solution is ranked in the top 1 percentile in Kaggle Kernels globally.

See other products by Vivekanandan SS

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