How do we create a robust pipeline?
A data pipeline is only as scalable as its foundation is strong. It is crucial to meticulously design an architectural plan, which includes anything from defining the types of data that need to be collected to the methodologies used to analyze the data, to create a sustainable data environment (Reference #2). Just as a data pipeline built with a strong architecture is easily maintainable and scalable, so too is a weak data pipeline at high risk of failure, either structurally or analytically producing an inaccurate product, and having staggering consequences.
The following are the attributes of a robust data pipeline:
- Clearly defined expectations
- Scalable architecture
- Reproducible and clear
A robust data pipeline should have clearly defined expectations in terms of the data it is processing and the results it is expected to produce. This includes specifying the types and sources of data, as well as the desired output format...
