In this episode of the Plumbers of Data Science podcast, we explore why you should be skeptical of data platforms and tools. Using a LEGO Grogu set from Star Wars as an analogy, I reveal the hidden issues behind flashy exteriors: chaotic scaffolding, empty spaces, and missing features.
I emphasize the importance of trying tools yourself, running benchmarks, and checking if they fit your use case. We also discuss the role of developer communities and frequent updates in improving these tools.
Have you encountered over-promised solutions? Share your experiences and thoughts in the comments ;)
