Just like we have data life cycle, the author has written the book in the same fashion. The journey begins starting with Architecture, Design, Consideration of Scheme, How to Speak to Database Cluster, How to load the Data to Cluster, Read / Query, Monitoring, Work Load Management and DBA aspects.
The attempt to show the Amazon - AWS's eco-system components like EC2, DynamoDB, S3 along with the Redshift is really good. The best part is when the author tries not just to improve the I/O performance when trying to load data from other AWS component from / to Redshift but also the cost economics relating to it.
The critical info like Cluster re-sizing scenarios and considerations, the metadata info about cluster like System Tables, their naming conventions, details, 3rd party integration tools, ETL tools, Indexing info like Sort Key & Distribution Key etc. are well explained