Webinar Speaker: Philip Russom, Senior Research Director for Data Management
Date: Thursday, March 7, 2019
Time: 9:00 a.m. PT, 12:00 p.m. ET
Data-driven organizations understand how to leverage advances in metadata tools such as AI-based automated lineage and cataloging. Leveraging modern data-driven practices are key for agile development, self-service, data value, compliance support, and more.
Metadata is more relevant than ever. It continues to be a powerful enabler for high-value data-driven business activities across operations, analytics, and compliance. However, to maintain this relevance, metadata management must deal with the increasing complexity of today’s business use cases and hybrid data environments.
Metadata management is notoriously manual which makes it slow in development and error-prone in maintenance. Metadata management needs better tool automation. Metadata management is typically siloed due to users managing metadata per tool or platform. Metadata management needs a unified solution that is suited to sharing, reuse, governance, and comprehensive views of distributed data.
During this webinar, you will learn:
- How intelligent tool automation accelerates access to data value
- How automated data lineage, impact analysis, cataloging and mapping support data governance and compliance
- How the value of new semantics enables new practices in self-service data exploration, discovery, analytics, and visualization
- Why unified metadata management’s role is critical as users extend their IT ecosystems with SaaS apps, multiple clouds, and hybrid architectures
Philip Russom, Ph.D.