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Welcome to the Amazon Redshift Management Guide. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers.
The first step to create a data warehouse is to launch a set of nodes, called an Amazon Redshift cluster. After you provision your cluster, you can upload your data set and then perform data analysis queries. Regardless of the size of the data set, Amazon Redshift offers fast query performance using the same SQL-based tools and business intelligence applications that you use today.
If you are a first-time user of Amazon Redshift, we recommend that you begin by reading the following sections:
Amazon Redshift Management Overview – This topic provides an overview of Amazon Redshift.
Service Highlights and Pricing – This product detail page provides the Amazon Redshift value proposition, service highlights, and pricing.
Amazon Redshift Getting Started Guide – This guide walks you through the process of creating a cluster, creating database tables, uploading data, and testing queries.
Amazon Redshift Management Guide (this guide) – This guide shows you how to create and manage Amazon Redshift clusters.
Amazon Redshift Database Developer Guide – If you are a database developer, this guide explains how to design, build, query, and maintain the databases that make up your data warehouse.
There are several ways to manage clusters. If you prefer a more interactive way of managing clusters, you can use the Amazon Redshift console or the AWS Command Line Interface (AWS CLI). If you are an application developer, you can use the Amazon Redshift Query API or the AWS SDK libraries to manage clusters programmatically. The AWS SDK libraries wrap the underlying Amazon Redshift API to simplify your programming tasks. For information about the CLI, API, and SDKs, go to the following links: