Table The data stored in ID NAME AGE ADDRESS SALARY database objects are + 1 Ramesh 32 Ahmedabad called tables 2999.98 2 hilan 1599.98 Every table is broken 3 kaushik 23 Kota 2999.98 4 Chaitali 25 Mumbai 6599.98 up into smaller entities 5 Hardik .7 Bhopal 859.98 6 Komal 22∏MP 4589.98 called fields 7 Muffy 24 Indore 19999.89 The table is a collection of related ADDRESS data entries and it -- Ahmedabad consists of columns and rows Kota Mumbai ---+---=-==---+-----+ 5 Hardik 27| Bhopa1|850.00 Indore 31Table • The data stored in database objects are called tables • Every table is broken up into smaller entities called fields • The table is a collection of related data entries and it consists of columns and rows. 31 +----+----------+-----+-----------+----------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+----------+ | 1 | Ramesh | 32 | Ahmedabad | 2000.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 4 | Chaitali | 25 | Mumbai | 6500.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 6 | Komal | 22 | MP | 4500.00 | | 7 | Muffy | 24 | Indore | 10000.00 | +----+----------+-----+-----------+----------+ +----+----------+-----+--------+----------+ | 5 | Hardik | 27 | Bhopal | 8500.00 | +----+----------+-----+--------+----------+ +-----------+ | ADDRESS | +-----------+ | Ahmedabad | | Delhi | | Kota | | Mumbai | | Bhopal | | MP | | Indore | +----+------+