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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

Why subscribe?

13. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Anaconda environment 4

Anaconda packages

managing, in Python worksheets 19-22

application files

creating 185

manifest file. creating 187

README file, creating 187

setup script, creating 185, 186

Streamlit app file, creating 186

uploading, to named stage 191, 192

application package

creating 188

application programmable interface (API) 12

artificial intelligence (AI) 128

C

client API, Snowpark Python 35

advanced authentication, Snowpark sessions 37, 38

sessions, working with 36

Snowpark DataFrames 38, 39

Snowpark DataFrames, working with 39, 40

command-line interface (CLI) 31

components, Snowpark Container Services

compute pools 206

jobs 206

service functions 206

services 206

continuous integration and continuous deployment...

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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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