Combining Amazon S3 and Redshift provides a powerful tool for storing, managing, and analyzing significant amounts of data. Amazon S3 is a highly flexible and durable object storage service that enables data storage and retrieval from any location via the internet. Similarly, Redshift is a fully managed data warehousing service that facilitates quick querying and analysis of extensive datasets using SQL. Learning to use these two services empowers you to utilize these robust tools for data management and analytics purposes.
In this Cloud Lab, you’ll create an S3 bucket to hold your data and set up an Amazon Redshift cluster. Next, you’ll establish an AWS IAM role to provide Redshift with the required permissions to access the S3. Once complete, you’ll upload sample data to the S3 bucket and utilize the COPY command to import the data into your Redshift cluster.
After finishing this Cloud Lab, you’ll have hands-on experience with Amazon S3 and Redshift to manage and analyze datasets. You’ll understand how to configure and integrate both services efficiently, enabling you to utilize their combined strengths in your data projects.
The following is the high-level architecture diagram of the infrastructure you’ll create in this Cloud Lab:
