How Serverless Will Facilitate the Growth of Big Data Applications?

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When it comes to designing the big data framework within the organization, serverless computing is coming off as a perfect solution. Setting up a dedicated server to facilitate your custom requirements is history now. To deal with the complex analytics workload, organization are often re-architecting their IT infrastructure.

Moreover, the popular buzzword of “pay as you go” and “pay for what you use” is proving to be a major driving factor in accelerating the adoption of serverless architecture. With a sudden rise in adoption, it is becoming mainstream as more and more people are opting for the same.

Serverless is definitely proving to be a big benefit for the organizations across the world. However, there are very few who are leveraging it to enable their big data solutions. Let’s analyze whether serverless is right for powering big data solutions or not. If yes, what are the major benefits it brings to the table?

Understanding Serverless

Serverless is a popular term which houses two of the widely used technology, Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS). It is a software design pattern where you build and run your applications without having to manage the infrastructure.

In serverless, the code runs in a short-lived function which is triggered as ...


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