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Key Challenges in Metadata Management
With quick commercial outcomes, tool automation and intelligence replace human technical jobs.
Fremont, CA: Metadata management is a vital enabler for mission-critical data-driven business activities such as operations, analytics, collaboration, discovery, and compliance. Metadata is the golden thread that connects enterprise-wide landscapes, even ones that are highly dispersed and diverse, using hybrid on-premises and cloud systems.
Traditional approaches to metadata management, although mission-vital, have two problems.
First and foremost, metadata management is famously manual. It takes ages to create new metadata, making it difficult to begin new projects or add new sources. In addition, metadata management is time-consuming and error-prone, slowing down modifications to current solutions. As a result, improved tool automation is necessary to update metadata management.
Second, metadata management is infamously compartmentalized. Users routinely handle metadata on a per-tool or platform basis, with hardly any attempt to centralize metadata for business usage. This inhibits the ability to share or reuse metadata assets. Moreover, physically dispersed metadata stymies data governance. It's no surprise; therefore, that metadata needs modernization and improved centralization.
Modern Metadata Management Addresses Challenges, Enables Innovation
The good news is that metadata management tools and techniques are changing to utilize new technologies and meet new business requirements. Why should your organization upgrade metadata and its administration, and why should it do so now?
• Addressing pressing issues and possibilities with current technology and processes.
• Increasing developer productivity through improved tool automation and data intelligence also aids in the adoption of agile and lean development approaches.
• Spending less time on each project implies finishing more projects cumulatively and shortening the time it takes for a firm to employ a solution.
• Enabling contemporary metadata-driven business activities, including self-service data access, discovery, preparation, and visualization.
• To make current metadata-driven approaches like data virtualization and cataloging possible.
• Consolidating metadata silos allows for single customer views and business data standards, along with data governance, stewardship, and curation.