What crucial infrastructure components do Data Engineers build and maintain to feed reliable data to scientists and analysts?
Pipelines and warehouses
The Data Engineer is characterized as being crucial to the entire data ecosystem because they are responsible for constructing and sustaining the necessary infrastructure. This infrastructure primarily consists of data pipelines and data warehouses, which serve the critical function of supplying clean, trustworthy, and reliable data inputs to both Data Scientists and Data Analysts. Without this foundational work in database management, ETL (Extract, Transform, Load) processes, and big data technologies, even highly accurate models developed by scientists cannot function properly because the required input data streams are either absent or unreliable. This role ensures data availability is never the bottleneck for analysis or modeling efforts.
