Redshift

Working with Redshift Regular Expression Functions

The regular expression functions in Amazon Redshift offer many advantages such as identifying precise patterns of characters in the given string. You can use these functions to validate the input data. For e.g. validate if the input value is an integer. The regular expression can also help you to extract specific string or characters from input. Redshift Regular Expression Functions In the previous post, we have discussed Redshift NVL and NVL2 functions to deal with NULL values. In this article, we will check how to use Redshift RegEx functions in…

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April 4, 2022
Redshift

How to Handle NULL in Redshift? – Functions

A NULL value in a relational database is a special marker in SQL that indicates a data value does not exist in the database table. In other words, it is just a placeholder to denote values that are missing or that we do not know. Almost all relational databases and bigdata frameworks support functions to handle null values. In this article, we will check how to handle NULL in Amazon AWS Redshift, we shall also check Redshift NULL handling functions, usage and some examples. Handle NULL in Redshift Handle NULL in Amazon Redshift Similar…

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March 9, 2022