NEUGC - 2023

Today data get more and more exchanged between multiple platforms and interfaces, in JSON or XML or other text formats. SQL includes methods for consuming XML and JSON. But quite often the data is not in the format, so we can consume it directly. For example, the first and last name is returned as a single value separated with a comma and must be split. On the other hand, data must sometimes be prepared in a specific way, for example a numeric value must be right adjusted padded with asterics and edited with group and decimal separators. And finally, it is necessary to check the passed data or to search character data if they match a specific format or include a specific sequence. For example, to find all column values that consist not only of digits. Did you know, you can do this directly with SQL? SQL includes a lot of scalar functions for string manipulation including regular expressions for scanning, preparing and converting strings.