Usually, for executing/testing a pipeline, we need to provide it with some dummy data. Although using Python's "𝐫𝐚𝐧𝐝𝐨𝐦" library, one can generate random strings, floats, and integers. Yet, being random, it does not output any meaningful data such as people's names, city names, emails, etc.
Generate Your Own Fake Data In Seconds
Generate Your Own Fake Data In Seconds
Generate Your Own Fake Data In Seconds
Usually, for executing/testing a pipeline, we need to provide it with some dummy data. Although using Python's "𝐫𝐚𝐧𝐝𝐨𝐦" library, one can generate random strings, floats, and integers. Yet, being random, it does not output any meaningful data such as people's names, city names, emails, etc.