Data Quality Management
Data in a data mesh is being shared across different data products. These data products either deliver some key analytics or forecasts for the company or they are part of a chain of products that eventually deliver important analytics that drive the company’s top-line and bottom-line performance. Hence, data quality must be maintained throughout the entire data mesh so that the interlinked data products keep delivering accurate and timely analytics. Poor data quality can lead to errors, misinterpretation and misguided decisions, and potentially reputational damage to the organization.
In this chapter, we will discuss how to manage and maintain high-quality data that your data consumers can rely on. The quality of your data will drive your data consumption. Users will leave good ratings on the Data Catalog for your data and that will further drive the popularity of your data.
In this chapter, we will cover the following:
- Why is data quality...
