It can be a manual or automated process and is often done by a data or an engineering team. What is Data Wrangling? And Why it's Important?ĭata wrangling is the process of restructuring, cleaning, and enriching raw data into a desired format for easy access and analysis.

And you'll see a simple way to automate these historically manual processes without writing a line of code.

By the end of this post, you'll understand how data cleaning and data wrangling are just two of several steps needed to structure and move data from one system to another. The differences between the two are more subtle. Both processes play a key role in ensuring raw data can be used for operations, analytics, insights, and inform business decisions.

For those trying to grasp this mind-boggling number, one zettabyte is expressed as 1021 (1,000,000,000,000,000,000,000 bytes), a billion terabytes, or a trillion gigabytes.īut all of this data doesn't mean a thing if it's not cleaned and shaped into usable forms.Īs the amount of data rapidly increases, so does the importance of data wrangling and data cleansing. By 2025, the amount of data created, consumed, and stored is expected to exceed 180 zettabytes.

Data cleaning vs data dredging