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CCL is patterned after the Structured Query Language (SQL). All Cerner Millennium health information technology software uses CCL/Discern Explorer to select from, insert into, update into and delete from a Cerner Millennium database and allows a programmer to fetch data from an Oracle database and display it as the user wants to see. With ...
Common variations in the implementation of indentation include: how much to indent a block at each level of the code hierarchy, usually measured in spaces, and whether to store whitespace characters as space or tab characters. Although there are common practices, consensus is not universal.
In computer programming, indentation style is a convention, a.k.a. style, governing the indentation of blocks of source code.An indentation style generally involves consistent width of whitespace (indentation size) before each line of a block, so that the lines of code appear to be related, and dictates whether to use space or tab characters for the indentation whitespace.
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).
Sometimes, when you have undesirable whitespace, the best way to solve the problem is to expand the article (with suitable content). Sometimes, a minor fix will help eliminate or reduce whitespace. This may involve adding or removing one blank line from some part of the page, re-ordering templates, or the use of a gallery for multiple images ...
Python. The use of the triple-quotes to comment-out lines of source, does not actually form a comment. [21] The enclosed text becomes a string literal, which Python usually ignores (except when it is the first statement in the body of a module, class or function; see docstring). Elixir
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Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]