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About the Webinar
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
About the Speaker
Global Head of Product, AtScale
Elif Tutuk has extensive business intelligence and analytics expertise, having spent the last 12 years with Qlik. Her most recent role prior to AtScale was as Qlik’s vice president of innovation and design, overseeing a global team of user experience designers, product designers, and engineers. Her innovations have led to patents for search and conversational analytics, data analysis, data management and more. Her research and technology development for augmented intelligence (a combination of data science and AI) has led to the rise of third-generation analytics. Prior to Qlik, Elif started her career as a developer and analyst.
Elif is a founding member of the Innovation Forum at Forum Ventures, a leading venture group investing in early-stage software as a service startups. In this role, she serves as an advisor and mentor to founders and executives. Elif also recently won the Women in Tech Outstanding Leadership award, in recognition of her outstanding leadership contributions to the cloud industry. She was also named a winner of the Business Intelligence Group’s Artificial Intelligence Excellence Awards program, acknowledging her work leading the charge to blend AI into analytics to further the AI/human interaction with data while striving to eliminate bias.