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Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.
The gist is, leveraging metadata about research datasets, projects, publications, etc., Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. then building machine learning models to recommend methods and potential collaborators to scientists.
He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. Tukey did this paper.
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