Disruptive Effects of Cloud Native Machine Learning Systems and Tools

In 1970, E. F. Codd proposed the relational database. Fast forward today, and completely different cloud native architectures in application development have emerged that take advantage of native cloud properties. One cloud native paradigm is serverless. With serverless architecture, the entire stack is run in a manner that is inherently distributed and event-driven. This architecture can also be referred to as Functions as a Service (FaaS).  Functions written in Python, Go, Java, or another language run in response to events, and resources are elastically provisioned. Additionally, instead of relational databases, which expect consistency, serverless architectures are designed around “eventual consistency.”

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