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>