March 2019
Beginner to intermediate
778 pages
34h 20m
English
Content preview from Building Google Cloud Platform Solutions
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Entity groups and consistency
Depending on how data is modeled, entities in Datastore may be strongly or weakly consistent. This is due to the inherent trade off of distributed systems between consistency, availability, and partition tolerance, commonly referred to as CAP theorem. By default, entities are eventually consistent. This means that changes to data take time to propagate throughout the system. During this time, two observers of the data may see different results. For many cases, this is a totally acceptable trade off for performance and scalability.
In some cases, eventual consistency is simply not an option. For example, a trading platform that is eventually consistent may result in serious issues such as double-spending. To address ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.