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 using the Redshift Data API

The Amazon Redshift Data API is a built-in native API interface to access your Amazon Redshift database without configuring any Java Database Connectivity (JDBC) or Open Database Connectivity (ODBC) drivers. You can ingest or query data with a simple API endpoint without managing a persistent connection. The Data API provides a secure way to access your database by using either IAM temporary credentials or AWS Secrets Manager. It provides a secure HTTP endpoint to run SQL statements asynchronously, meaning you can retrieve your results later. By default, your query results are stored for 24 hours. The Redshift Data API integrates seamlessly with different AWS SDKs, such as Python, Go, Java, Node.js, PHP, Ruby, and C++. You can also integrate the API with AWS Glue for an ETL data pipeline or use it with AWS Lambda to invoke different SQL statements.

There are many use cases where you can utilize the Redshift Data API, such as ETL orchestration...

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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 using the Redshift Data API

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Authors (4)

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