Given a retail dataset, the goal is to validate the schema, address fields, and overall structure to ensure data accuracy and quality for reliable analysis and decision-making. How can this be achieved?

[Tarika]

Sparkflows provides a diverse range of nodes that cater to the above-mentioned requirements as these nodes assist in ensuring data quality and integrity. Some of them are listed below :

• Node Schema Validation

• Validate Address

• Validate Fields Advanced

For more detailed information read Sparkflows documentation here:

Data Validation — Sparkflows 3.0 documentation