Data Pipelines in Practice
Batch vs streaming, the tools landscape, and building simple pipelines that survive production.
An ETL job that runs once is a script. An ETL job that runs reliably every hour, handles failures gracefully, retries on transient errors, alerts you when something goes wrong, and processes data in the right order — that's a data pipeline.
The difference between a script and a pipeline is the difference between driving a car once and operating a bus route. The bus route needs a schedule, a backup plan when the bus breaks down, a way to know if it's running late, and someone to call when things go sideways.
Let's build pipelines that actually survive production.
Batch vs. Streaming
There are two fundamental approaches to processing data, and your choice between them shapes your entire architecture.
Batch processing collects data over a period and processes it all at once.
This lesson is part of the Guild Member curriculum. Plans start at $29/mo.