Data fundamentals on AWS: Data Pipelines
As our world becomes more and more data-oriented, we need good conceptual frameworks for communicating our ideas and for making the best design decisions. On one hand, this blog post describes a mental model of a data processing pipeline with two main goals: to establish common language and concepts and to help us to design data pipeline architectures following the best practices. From a practical standpoint, this framework will guide you in designing and evaluating any data