June 2016
Intermediate to advanced
436 pages
10h 37m
English
Content preview from Spring MicroservicesBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Data analysis using data lakes
Similarly to the scenario of fragmented logs and monitoring, fragmented data is another challenge in the microservice architecture. Fragmented data poses challenges in data analytics. This data may be used for simple business event monitoring, data auditing, or even deriving business intelligence out of the data.
A data lake or data hub is an ideal solution to handling such scenarios. An event-sourced architecture pattern is generally used to share the state and state changes as events with an external data store. When there is a state change, microservices publish the state change as events. Interested parties may subscribe to these events and process them based on their requirements. A central event store may also ...
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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.