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The researchers employ confidential transaction-level data from a major US wine importer covering October 2018 through March 2022. These data include detailed purchase invoices from foreign suppliers and sales invoices to US distributors. The authors supplement this with Connecticut state price-posting data for distributor-to-retailer transactions and retail price data from e-commerce platform Wine-Searcher. They compare price changes for tariffed wines (still wines at or below 14 percent ABV) with price changes for a control group consisting of sparkling wines and still wines exceeding 14 percent ABV from producers selling only nontariffed products.

ConclusionWhile the paper had to work around the messy 2008 cloud environment, it remains impressive for showing how to build a serverless database architecture on dumb object storage. In recent years, S3 has become faster, and in 2020 it gained strong read-after-write consistency for all PUTs and DELETEs. This made it much easier to build databases (especially for analytical workloads) over S3 directly, and this led to the modern data lake and lakehouse paradigms. We can say this paper laid some groundwork for systems like Databricks (Delta Lake), Apache Iceberg, and Snowflake.

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Joel Gavalas says that Google's flagship AI product fuelled a delusional spiral that prompted his 36-year old son, Jonathan, to kill himself last year.

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