In this article, you’ll learn the tips for getting started using SQL string functions for data munging with SQL Server. In many cases, Machine learning outcomes are only as good as the data they’re built on – but the work of preparing data for analytics (that is, data wrangling) can eat up as much as 80% of your project efforts.
In this guide, we’ll see the following topics:
- What is the data munging?
- How you can reduce your data preparation time
- How to easily get started with SQL string functions
- How to process data using SQL string functions
- And more…
We’ll look at specific SQL string function examples including
- SQL concatenate string
- SQL Server substring functions
- SQL string functions
- SQL Server convert string to date
- SQL replace string
- SQL convert INT to String
- SQL convert String to DateTime
- SQL string comparison
- And more …
This article is an effort to showcase the available SQL string functions to manipulate the raw data to make it more meaningful data-set for the data scientist to perform the data analysis using SQL Server.