Is the Modern Data Stack Out Over its Skis?

The discussion critiques the divide between advanced data platforms and traditional analytics needs, using a steel industry analogy. It explores 5Tran's influence on the data landscape and questions if data innovations truly meet user expectations. The conversation shifts to efficient data processing, emphasizing smaller queries and the importance of data lakes. It also benchmarks diverse execution engines like Databricks and DuckDB, highlights new market players, and considers the evolving definition of applications in an interconnected landscape.