Redshift

Redshift Pivot and Unpivot Functions: A Comprehensive Guide

Pivot and unpivot are common functions in relational databases for converting rows to columns and vice versa. These function are supported by many relational databases, including Amazon Redshift, which has recently added support for PIVOT and UNPIVOT functions. However, other methods such as CASE or DECODE can be used as alternatives for converting rows to columns or columns to rows. In this article, we will explore the Redshift pivot and unpivot table functions in detail for transforming your data. Post Content Introduction Redshift Pivot and Unpivot Functions Pivot Tables in…

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April 26, 2023
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

Redshift NVL and NVL2 Functions – Syntax and Examples

In my other post, we have discussed how to handle NULL values in Redshift using NULL handling functions. In this article, we will check couple of NULL handling functions such as Redshift NVL and NVL2 functions in details with syntax, usage and few examples. Redshift NVL and NVL2 Functions Redshift NVL and NVL2 Functions Similar to many other relational database or data warehouse appliances, Redshift supports NVL and NVL2. These functions are mainly used to handle the null values in Redshift tables. For example, replace NULL values with any readable…

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March 9, 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
Snowflake

How to Handle Error in Snowflake Procedures and Functions?

Snowflake Cloud data warehouse supports stored procedures and user defined functions to help migration from other relational databases such as Oracle, Teradata. You can write stored procedures using JavaScript APIs. You can also write user defined functions using JavaScript APIs. JavaScript support error handling using try/catch block. However, Snowflake also supports built-in functions such as try_cast to handle error during type conversion. In this article, we will check how to handle error in Snowflake procedures and functions. Snowflake Stored Procedure How to Handle Error in Snowflake? The Snowflake cloud database…

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February 18, 2022