The Log: What every software engineer should know about real-time data's unifying abstraction | LinkedIn Engineering
The Log: What every software engineer should know about real-time data's unifying abstraction I joined LinkedIn about six years ago at a particularly interesting time. We were just beginning to run up against the limits of our monolithic, centralized database and needed to start the transition to a portfolio of specialized distributed systems. This has been an interesting experience: we built, dep
Springframework.org
Spring Data’s mission is to provide a familiar and consistent, Spring-based programming model for data access while still retaining the special traits of the underlying data store. It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are speci
Announcing Hank: A Fast, Open-Source, Batch-Updatable, Distributed Key-Value Store
We’re really excited to announce the open-source debut of a cool piece of Rapleaf’s internal infrastructure, a distributed database project we call Hank. Our use case is very particular: we have tons of data that needs to get processed, producing a lot of data points for individual people, which then need to be made randomly accessible so they can be served through our API. You can think of it as
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Hadoop向け基幹バッチ分散処理ソフト「Asakusa」の全貌
