Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson
Catalog & Cocktails: The Honest, No-BS Data Podcast
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Evolution and Criticism of Data Tools
This chapter delves into the evolution of data tools over time, transitioning from initial excitement to practicality and efficiency. Criticism is directed towards infrastructure tasks like Kubernetes, AWS, terraform, and Docker, with a desire to focus solely on data-related tasks and disdain for writing yaml files. The conversation also explores the enduring relevance of SQL as a data tool and speculates on the longevity of SQL and similar tools like C in the data landscape.
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Transcript
