Serverless architecture is becoming increasingly popular in data engineering due to its scalability, cost efficiency, and ease of maintenance. Here's an overview of how data engineering teams can effectively leverage serverless architecture: Serverless computing relieves you of the burden of operating servers so that you can concentrate on what matters—getting value from data. Building Scalable Data Workflows: How Going Serverless Complements Data Engineering With serverless architecture, resource allocation is dynamically managed by the cloud provider , which automatically scales up or down in response to demand. In essence, serverless architecture frees your data engineering team from managing servers so they can concentrate entirely on collecting data from insights. The following are some advantages of using a serverless architecture for intricate data analysis: Scalability: The inherent scalability of serverless architecture is one of its most important benefits...