In today's insight-oriented world, organizations are increasingly relying on real-time insights to make effective decisions. To achieve this, building robust data pipelines that can handle streaming volumes of data is essential. These pipelines must be flexible enough to accommodate evolving business needs and ensure the validity of data processed.

Data engineering is a rapidly evolving field that demands scalable data pipeline construction. Masterfully mastering this skill requires understanding the complexities of data acquisition, processing, and delivery. This practical guide delves into the essential components of building high-performing data pipelines, covering topics like data source