Data mesh allows businesses to organize and curate data according to specific domains, empowering data owners and experts with greater autonomy. And when coupled with data mastering, which links unmastered data records to master records across domains, the two together can greatly enhance the effectiveness of a data mesh strategy.
Many organizations grapple with over 100 unique departmental data silos, leading to increased data variety and complexity. Data mastering technology can offer an integrated, consistent perspective on these disparate data sources, standardizing keys for data, enabling federated queries, and providing end-users with validated, clean, and standardized data. As a result, organizations can accelerate insights and simplify the management of data quality, security, and privacy requirements across different environments.
The rise of multi-cloud and hybrid architectures has made a unified data view essential. Data mastering can alleviate issues caused by data silos and provide balanced insights. Moreover, it allows for a higher degree of autonomous control over data stewardship, often backed by automation and machine learning technologies. With human-improved automation and machine learning, data mastering can offer a universal key for consistently federating data.
The success of a data mesh approach heavily relies on flexibility and compatibility, making data mastering a must-have for all data-driven enterprises.