Additional resources
For more information about Amazon Redshift Serverless, we recommend that you continue to learn more about the concepts introduced in this guide by using the following Amazon Redshift resources:
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Feature videos: These videos help you learn about Amazon Redshift features.
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To understand Amazon Redshift Serverless at a high-level, watch the following video.
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To learn how to set up a serverless data warehouse and begin querying data, watch the following video.
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Amazon Redshift Management Guide: This guide builds upon this Amazon Redshift Getting Started Guide. It provides in-depth information about the concepts and tasks for creating, managing, and monitoring Amazon Redshift Serverless and Amazon Redshift provisioned clusters.
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Amazon Redshift Database Developer Guide: This guide also builds upon this Amazon Redshift Getting Started Guide. It provides in-depth information for database developers about designing, building, querying, and maintaining the databases that make up your data warehouse.
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SQL reference: This topic describes SQL commands and function references for Amazon Redshift.
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System tables and views: This topic describes system tables and views for Amazon Redshift.
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Tutorials for Amazon Redshift: This topic shows tutorials about Amazon Redshift features.
Loading data from Amazon S3: This tutorial describes how to load data into your Amazon Redshift database tables from data files in an Amazon S3 bucket.
Getting started with data sharing: This section describes how to share and access data in other Amazon Redshift clusters.
Using spatial SQL functions with Amazon Redshift: This tutorial demonstrates how to use some of the spatial SQL functions with Amazon Redshift.
Querying nested data with Amazon Redshift Spectrum: This tutorial describes how to use Redshift Spectrum to query nested data in Parquet, ORC, JSON, and Ion file formats using external tables.
Configuring manual workload management (WLM) queues: This tutorial describes how to configure manual workload management (WLM) in Amazon Redshift.
Getting started with Amazon Redshift ML: This section describes how users can create, train, and deploy machine learning models using familiar SQL commands.
What's new
: This webpage lists Amazon Redshift new features and product updates.