# here we use WHERE column_name but we don't know what is the data # To fetch result of given string to match in column_data we use LIKE #syntax SELECT * FROM <table-name> WHERE <column_name> LIKE '%<data-to-fetch>%' with out #space both sides SELECT * FROM employees WHERE department LIKE '%Clo%'; # NOTE : %Clo% is departement feches related data which start with that string #ref below course_data=# SELECT * FROM employees WHERE department LIKE '%Clo%' LIMIT 10; employee_id | first_name | last_name | email | hire_date | department | gender | salary | region_id -------------+------------+------------+-------------------------------+------------+-------------------+--------+--------+----------- 3 | Sydney | Symonds | ssymonds2@hhs.gov | 2010-05-17 | Clothing | F | 95313 | 4 7 | Ardeen | Curwood | acurwood6@1und1.de | 2006-02-19 | Clothing | F | 28995 | 7 10 | Redford | Roberti | | 2008-07-21 | Clothing | M | 72225 | 7 21 | Bernardo | Davage | | 2013-07-11 | Clothing | M | 124949 | 6 38 | Edna | Erwin | | 2003-04-09 | Children Clothing | F | 91397 | 5 48 | Birgitta | Stanbrooke | bstanbrooke1b@netvibes.com | 2016-09-12 | Clothing | F | 77259 | 1 54 | Verney | McQuirk | vmcquirk1h@ning.com | 2012-06-17 | Clothing | M | 97156 | 2 55 | Norina | Yea | nyea1i@cnet.com | 2005-06-14 | Children Clothing | F | 45959 | 1 56 | Wilek | Cossor | wcossor1j@merriam-webster.com | 2014-09-17 | Children Clothing | M | 91859 | 4 62 | Lek | Camplin | | 2007-07-16 | Children Clothing | M | 124190 | 6
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