In order to speed up the development of Azure Data Factory pipelines, I created a table containing definitions of various databases tables. Each of the big three databases provide a method for querying table and column definitions. SQL Server select table_catalog, table_schema, table_name, column_name, ordinal_position, data_type, coalesce(character_maximum_length,numeric_precision) as column_length from information_schema.columns Oracle select ‘myOracleDatabase’ as databasename, owner, table_name, column_name, column_id, data_type, data_length from all_tab_columns DB2 select ‘myDB2Database’ as databasename, tabschema, tabname, colname, colno, typename, length […]