Hey, data engineers! Let’s talk about something that might not be popular to say out loud: streaming pipelines are often overengineered for most businesses. I know, I know – it’s blasphemy to suggest that daily batches are fine, but hear me out. For many companies, the complexity of streaming pipelines just isn’t necessary. They require a lot of resources, expertise, and maintenance, which can be a significant burden. And let’s be real, how many businesses really need real-time data processing? Most of the time, daily batches can get the job done just fine.
Of course, there are exceptions – high-frequency trading, IoT sensor data, or social media analytics might require streaming pipelines. But for the average business, daily batches are more than sufficient. And let’s not forget the simplicity and cost-effectiveness of batch processing.
So, what’s your most unpopular data engineering opinion? Do you agree or disagree with my take on streaming pipelines?