The need for automation
Even though we have come to the last chapter of the book, a data platform cannot be sustainable in the long run if a large number of teams manually manage all the day-to-day operations. In a mature organization, personas who help build and operate the data platform do not get access to the AWS console in production. So, the main question arises: how do they manage and operate a modern data platform? The answer is simple – each and every aspect of the data platform is managed and operated through automation scripts and pipelines.
Before we dive into what automation entails, let’s quickly highlight why automation is needed in the first place.
Automation plays a crucial role in an analytics platform on AWS for several reasons:
- Efficiency: Automation eliminates manual, repetitive tasks, allowing analytics processes to run more efficiently. It reduces the time and effort required to perform data ingestion, transformation, modeling, and...
