Summary

This chapter introduced some of the most well-known cloud storage solutions, specifically AWS S3. It also covered cloud database solutions for both traditional relational databases and NoSQL databases. Some of the common cloud database solutions are AWS RDS, ElastiCache, DocumentDB, GCP Memorystore, Data Store, and BigTable.

We started by using the AWS CLI in a Terminal to perform common data tasks such as creating a bucket, uploading files, and moving files. Later, we move on to the Python environment, where we used the AWS Python SDK to control AWS resources. At the end of this chapter, we leveraged the practical skills we learned in this chapter and composed an end-to-end pipeline that extracts data from S3, transforms data, and uploads data back to S3. The practical concepts you learned about during these exercises will allow you to build data applications or systems.

In the next chapter, you will continue to build on what you learned in the previous chapters...