Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
257: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy
The Data Stack Show
41 minutes 29 seconds
2 months ago
257: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy
This week on The Data Stack Show, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy.
The Data Stack Show
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
