Before we wrap up databases and storage, I want to look back to the topic that we started all this with. Choosing the right database, choosing the right storage platform, to fit your business needs, rather than forcing your data to fit your databases requirements. No matter what a database vendor might try to tell you, there is no one size fits all database for all purposes. We've covered quite a few database flavors already, but they're even more databases, AWS offers for special business requirements that we don't have time to cover. But it's worth just knowing they're there in case you need them. For example, we talked about DynamoDB, and that's great for key value pair databases. But what if you need more than just small attributes? What if you need a full content management system? Introducing Amazon DocumentDB, great for content management, catalogs, user profiles. Now, what if you had a social network that you wanted to track? Well those social webs, who is connected to who is very clunky to manage in a traditional relational database, so Amazon Neptune, a graph database engineered for social networking and recommendation engines, also great for fraud detection needs. Or perhaps you have a supply, chain that you have to track with assurances that nothing's lost. Or you have banking or financial records that require 100 percent immutability, or some people will tell you, "Oh, that's what block chains all about." Well, perhaps. Now if you do need a blockchain solution, wouldn't you know it we offer Amazon Managed Blockchain, but that's probably not what you really need here. It solves part of the equation, but adds a huge decentralization component, that's not what financial regulators want to see. What you really need is an immutable ledger. Amazon QLDB, or Quantum Ledger Database, an immutable system of record where any entry can never be removed from the audits. Databases by themselves are great, but if there was a way to make them faster, wouldn't that be greater? Or you know I wouldn't be saying that if there weren't some accelerator options that can be used in a number of unique scenarios. Starting with adding caching layers on top your databases, that can help improve the read times of common requests from milliseconds to microseconds. Amazon ElastiCache, can provide those caching layers without your data team needing to worry about the heavy lifting of launching, uplift and maintenance. It comes in both Memcached D and latest flavors. Or if you're using DynamoDB, try using DAX, the Dynamo DB Accelerator. A native caching layer designed to dramatically improve read times for your non-relational data. The key thing to understand is AWS wants to make sure that you're using the best tool for the job.