Introduction In today's fast-paced business environment, data is king. Companies rely on data to drive their decision-making processes, and the ability to quickly and efficiently collect, process, and analyze this data is critical. One way to achieve this is by building a data pipeline on AWS using their fully managed services. This blog post will explore how to build a serverless data pipeline on AWS using S3, Kinesis, and Lambda. Why Serverless? Serverless computing is an execution model in which the cloud provider manages the infrastructure and allocates resources needed to run the code. You don't have to worry about provisioning or scaling servers, which can save you time and money. Additionally, serverless computing is an excellent option for data pipelines because it allows for automatic scaling and the ability to pay only for the resources you use. How to Build a Serverless Data Pipeline on AWS The first step in building a serverless data pipeline on AWS is to set up a...