Both these problems are instances of issues with schema evolution: what happens when the structure of your structured data changes. Rather than taking a prescriptive approach, Alex Rasmussen distills a lot of institutional knowledge and computer science history into a set of patterns and examines the trade-offs between them.
Alex Rasmussen is a data engineering consultant. Previously, he was VP of engineering at Freenome, an AI genomics company, and an early employee at Trifacta, a pioneer in the data wrangling space. He holds a PhD from the University of California San Diego (UCSD), where his dissertation focused on highly efficient large-scale data processing systems. While at UCSD, he led the TritonSort project, which set several world records in large-scale sorting.
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