You're reading from Serverless Machine Learning with Amazon Redshift ML Create, train, and deploy machine learning models using familiar SQL commands

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781804619285

Length 290 pages

Edition 1st Edition

Languages

Python

Tools

Amazon Redshift

Concepts

Machine Learning

Authors (4):

Phil Bates

Sumeet Joshi

Debu Panda

Bhanu Pittampally

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Table of Contents (19) Chapters

Preface

1. Part 1:Redshift Overview: Getting Started with Redshift Serverless and an Introduction to Machine Learning

2. Chapter 1: Introduction to Amazon Redshift Serverless FREE CHAPTER

3. Chapter 2: Data Loading and Analytics on Redshift Serverless

4. Chapter 3: Applying Machine Learning in Your Data Warehouse

5. Part 2:Getting Started with Redshift ML

6. Chapter 4: Leveraging Amazon Redshift ML

7. Chapter 5: Building Your First Machine Learning Model

8. Chapter 6: Building Classification Models

9. Chapter 7: Building Regression Models

10. Chapter 8: Building Unsupervised Models with K-Means Clustering

11. Part 3:Deploying Models with Redshift ML

12. Chapter 9: Deep Learning with Redshift ML

13. Chapter 10: Creating a Custom ML Model with XGBoost

14. Chapter 11: Bringing Your Own Models for Database Inference

15. Chapter 12: Time-Series Forecasting in Your Data Warehouse

16. Chapter 13: Operationalizing and Optimizing Amazon Redshift ML Models

17. Index

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Data Loading and Analytics on Redshift Serverless

In the previous chapter, we introduced you to Amazon Redshift Serverless and demonstrated how to create a serverless endpoint from the Amazon Redshift console. We also explained how to connect and query your data warehouse using Amazon Redshift query editor v In this chapter, we will dive deeper into the different ways you can load data into your Amazon Redshift Serverless data warehouse.

We will cover three main topics in this chapter to help you load your data efficiently into Redshift Serverless. First, we will demonstrate how to load data using Amazon Redshift query editor v where you will learn how to load data from your Amazon S3 bucket and local data file onto your computer using the GUI.

Next, we will explore the COPY command in detail, and you will learn how to load a file by writing a COPY command to load the data. We will cover everything you need to know to use this command effectively and load your data smoothly into...

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You're reading from Serverless Machine Learning with Amazon Redshift ML Create, train, and deploy machine learning models using familiar SQL commands

Table of Contents (19) Chapters

Data Loading and Analytics on Redshift Serverless

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Authors (4)

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