Data transformation is the process of converting the format, structure, or values of data to another, typically from the format of a source system into the required format of a destination system.
Make ops-driven data ingestion a reality with Osmos
Learn why your organization should let go of legacy ETL in favor of modern AI-driven ETL solutions that democratize data ingestion.
Using GPT-4 for Data Transformation Without the Pitfalls
With the advent of GPT-4, it's tempting to imagine the possibilities of leveraging this powerful language model to perform tasks such as data cleaning and formatting. But is GPT-4 truly ready for these challenges?
Clean CSV Files with No-Code Data Transformation
To make CSVs usable across any system, companies can take advantage of no-code data transformation to quickly clean and validate data. Tools like Osmos simplify data cleanup —the process of converting the format, structure, or values of data to the required format of a destination system.
What's the Difference Between Data Wrangling vs Data Cleansing vs Data Transformations
Understand how data cleaning and data wrangling are just two of several steps needed to organize and move data from one system to another. And you'll see a simple way to automate these historically manual processes.