#12 Data Tools & Platforms: Why you should always be skeptical

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 ;)

Om Podcasten

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com