Data engineering & data science have unique problems,<\/p>\n
A big one is validating data ingested into the pipeline.<\/p>\n
It so often happens that data being ingested is not as per expectation<\/p>\n
There are generally 6 broad categories classifying the different problems you may have, called data quality dimensions.<\/p>\n
To ensure he quality of your data models and analytics, its vital to validate quality of the data BEFORE any processing happens.<\/p>\n
Reference video linked below<\/p>\n
#RedefiningSoftwareQualiy<\/a>\u00a0#BigData<\/a>\u00a0#DataScience<\/a>\u00a0#DataAnalytics<\/a><\/p>\n<\/div>