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Today, we will be running SQL queries against a table with ten THOUSAND records, then against a table with one HUNDRED MILLION records to demonstrate the importance of using indexes to speed up queries. The table, named person, consists of columns for firstname, lastname, and birthday, with the first row being a primary key called personid. The names in the table were randomly generated using the 1000 most popular female and male names in the US, along with last names. The datasets and Python code used for this are available.