Data Pipeline Architecture: Process & Considerations
Well-thought-out architecture is what differentiates slow, disorganized, failure-prone data pipelines from efficient, scalable, reliable pipelines that deliver the exact results you want.
Well-thought-out architecture is what differentiates slow, disorganized, failure-prone data pipelines from efficient, scalable, reliable pipelines that deliver the exact results you want.
To be successful, a company’s data pipelines must be scalable, organized, usable to the correct stakeholders, and above all, crafted to align with business goals.
Using TypeScript for transformations allows us to prevent many of the common types of pipeline failures that might otherwise slip through the cracks.
Streaming data pipelines are different from most data pipelines because they handle data continuously — in near-real-time. But they still have the fundamental pieces of a data pipeline.
ETL stands for extract, transform, and load. Together, this set of processes moves data from a source to a destination system.