What XML is
XML marks up data with nested named tags and optional attributes. It is verbose, strict about being well-formed, and can carry a schema that says what shape a document must have.
Enterprise integrations, government data feeds, RSS, SOAP services and older document formats.
What SQL is
SQL here means the statements that move a table into a database: INSERT INTO with a VALUES list, and optionally the CREATE TABLE that defines the columns.
Anyone seeding a database, moving a spreadsheet into an application, or writing a migration.
What changes when you convert XML to SQL
The first repeating element is treated as the rows. Attributes are read alongside child elements and prefixed so they do not collide with a same-named tag. Nesting one level deep becomes dotted column names; deeper structures are kept as text.
String values are escaped by doubling any single quote. Statements are written in batches so a large table does not become one statement megabytes long, which many clients refuse. Ask for CREATE TABLE as well and column types are inferred: a column stays INT until a value does not fit, then widens to DECIMAL, then to VARCHAR.
What carries over from XML to SQL
One property of the XML has no home in SQL, and it is worth knowing which before you convert.
SQL wants a type for each column, and XML does not record one, so each column is typed from what its values look like. A column of digits that should stay text - a zip code, a phone number, a leading-zero id - is the usual thing to check afterwards.
XML can hold a value that is itself a list or an object. SQL has only flat cells, so nested values are flattened into one cell rather than being spread across columns.
SQL marks header cells differently from data cells, so the keys are lifted out and written once as a marked header row rather than repeated on every row.
The identifier 007 comes out of the SQL as 007. Reading it as a number would have made it 7, and an id that changes value is worse than one that stays text.
The role "Analyst, data" survives with its comma, in one cell rather than split across two. That is the first thing to check in any converted table, and the usual place a SQL file goes wrong.
The quotes around Jonah "Jo" Pryce are left as a plain quote character in the SQL.