![Data Cleaning with Regular Expressions in Amazon Redshift | by Ling Hong | Analytics Vidhya | Medium Data Cleaning with Regular Expressions in Amazon Redshift | by Ling Hong | Analytics Vidhya | Medium](https://miro.medium.com/v2/resize:fit:1400/1*0LXCp1me7T0xvtPdOQmUAQ.png)
Data Cleaning with Regular Expressions in Amazon Redshift | by Ling Hong | Analytics Vidhya | Medium
![Example: Split Strings into Multiple Fields (VARIABLE_COLUMN_LOG_PARSE Function) - Amazon Kinesis Data Analytics for SQL Applications Developer Guide Example: Split Strings into Multiple Fields (VARIABLE_COLUMN_LOG_PARSE Function) - Amazon Kinesis Data Analytics for SQL Applications Developer Guide](https://docs.aws.amazon.com/images/kinesisanalytics/latest/dev/images/unstructured-10.png)
Example: Split Strings into Multiple Fields (VARIABLE_COLUMN_LOG_PARSE Function) - Amazon Kinesis Data Analytics for SQL Applications Developer Guide
![javascript - I want to select a date array data (type : string) from a object of dates - Stack Overflow javascript - I want to select a date array data (type : string) from a object of dates - Stack Overflow](https://i.stack.imgur.com/LixNi.png)
javascript - I want to select a date array data (type : string) from a object of dates - Stack Overflow
![Rendering long strings, greater than 2,047 characters - Question & Answer - Amazon QuickSight Community Rendering long strings, greater than 2,047 characters - Question & Answer - Amazon QuickSight Community](https://d1wl4jav5dp96l.cloudfront.net/original/2X/4/449f4da13cd6bf818b6cdba1aefda43ddb661fca.png)
Rendering long strings, greater than 2,047 characters - Question & Answer - Amazon QuickSight Community
![Split values from a field and create rows for each value - Question & Answer - Amazon QuickSight Community Split values from a field and create rows for each value - Question & Answer - Amazon QuickSight Community](https://d1wl4jav5dp96l.cloudfront.net/original/2X/9/949f902e899cd2363f2c549250af384abd32d364.png)