| Abstrakt: |
Data mesh is a relatively new concept that aims to address challenges faced by organizations in managing and utilizing their data effectively. It involves a decentralized and domain-driven approach to data architecture, where data is treated as a product and owned by the teams that create and understand it. Data mesh promotes data autonomy, improves development velocity, and reduces dependencies between services. It also emphasizes the importance of effective coordination and communication across cross-functional teams. Knowledge graphs can play a crucial role in supporting data mesh by ensuring standardized data contracts, facilitating data sharing, and providing semantic context to data across different domains. However, implementing a data mesh strategy requires a cultural and organizational shift and may vary in complexity depending on the organization. [Extracted from the article] |
