![]() ![]() This type is known as an implicit conversion. When we deal with two values which are same in nature but different data types, behind the scenes, the database engine convert the lower data type values to higher data type before it could go ahead with the calculation. For example, when we multiply decimal type data with an integer, the data undergoes internal transformation and implicitly converts an integer to decimal data type and the result is of decimal data. Sometimes the data types of the data need to get converted to other data types for calculations or transformation or processes or to meet destination data formats. Note: A walk-through of high-level concepts of data management is discussed in this article SQL string functions for Data Munging (Wrangling). We are in the world dealing with heterogeneous data. The data type conversion functions commonly used specially to meet the data standards of the target objects or systems. The conversion of SQL data types, in this process, can be implicit or explicit. ![]() When the SQL data types are different, they will go through a process called type-casting. In order to perform operations or comparisons or transformation between data in a SQL Server database, the SQL data types of those values must match. So let’s take a closer look at the SQL conversion functions SQL CAST and SQL CONVERT in detail. In addition to working with data, there are some built-in functions can be used to convert the data. Sometimes we need to convert data between different SQL data types. This article is an effort to discuss SQL Cast and SQL Convert functions as a follow-up to previous articles, in which we’ve discussed several SQL tips such as SQL Date, SQL Coalesce, SQL Union, SQL Join, SQL Like, SQL String etc. ![]()
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