Data quality management systems
Data quality management systems, or DQMSs for short, play a critical role in monitoring the quality of data across all the dimensions that we looked at in the previous section. The more clean, accurate, and reliable data available across the data mesh, the speedier we can drive innovation. But considering all the points at which data is produced and consumed, it can be a daunting task to consistently ensure data quality across the entire data mesh; especially if it’s a large data mesh. Smaller companies who have decided to build a data mesh have the advantage of setting up DQMSs from the beginning and are definitely at a huge advantage over a large company that is adopting a data mesh over already existing globally distributed analytical systems.
A problem of this magnitude needs to be solved systematically at different levels. The ideal place to start is data standardization.
Data standardization and data processing standardization are...
