In this chapter, we have gone through some best practices that one should follow in order to get the maximum out of DynamoDB. We started with table best practices where we talked about how to choose correct primary keys, how to create table schemas, how to manage the time series data, and so on. In item best practices, we talked about caching, storing large attributes, one-to- many data modeling, and so on. In query and scan best practices, we saw how to maintain even data load to improve query performance. We also discussed the use of parallel scans and its benefits.
In the last section, we talked about local and global secondary best practices. A good understanding of DynamoDB architecture would help you to find more such best practices, which in turn would help you reduce cost and improve performance. So keep learning and keep exploring.
In the next chapter, we will cover some advanced topics, such as DynamoDB monitoring, common useful tools, libraries, AWS authentication service...
