There is a massive shift toward serverless computing for big data and other applications on AWS Cloud. The popularity of serverless stems from the huge advantages it provides in terms of having no servers to provision or manage; it scales with usage and you never pay for the idle time. Additionally, availability and fault tolerance are built-in.
Serverless nicely fits into big data platforms as you can flexibly mix and match serverless, managed, and virtualized services. These services can be easily leveraged to rapidly ingest, categorize, and discover your data, allow easy query and analysis of your data, transform and load data, provide custom event-based handlers, and so on. Overall, a serverless approach allows you to focus more on analytics / use cases and not on infrastructure or servers.
A serverless strategy can be applied...
