Data Quality within Lakehouses

A deep dive into data quality using bronze, silver, and gold layered architectures

Piethein Strengholt
9 min readMar 5, 2024

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Introduction

Many times I am asked, how do we ensure data quality within Data Lakehouses? Or how to manage data quality for my data products? In this article, we will see if there is a need to validate, first of all. If yes, what data must be validated and how to validate the data, as well. These are items that many enterprises, at the start of the Data Lakehouse journeys, are dealing with.

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