Welcome to the IBM TechXchange Community, a place to collaborate, share knowledge, & support one another in everyday challenges. Connect with your fellow members through forums, blogs, files, & face-to-face networking.
IBM Data Lifecycle - Integration and Governance Connect with experts and peers to elevate technical expertise, solve problems and share insights. Join / Log in
Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes?
It is imperative to evolve metadata management approaches to keep pace with the proliferation of enterprise data. This puts into perspective the role of active metadata management. According to Gartner, active metadata management includes a set of capabilities that enable continuous access and processing of metadata.Read the full blog on IBM's Journey to AI blog series: https://www.ibm.com/blogs/journey-to-ai/2022/11/maximize-your-data-dividends-with-active-metadata/