Semantics and graph data models in the enterprise data fabric (sponsored by Cambridge Semantics)
A data fabric built with an integration layer based on the graph data model amplifies and accelerates the delivery of analytics-ready data to consumers across the business. Semantics applied in a data fabric simplifies complex enterprise data; enables power blending of related data across siloed source systems; and answers both unanticipated or planned questions with agility and scale.
Join industry consultant Peter Ball, of Liminal Innovation, and Barbara Petrocelli, VP Field Operations of Cambridge Semantics, to learn how enterprise data fabrics are reshaping the modern data management landscape.
This session is sponsored by Cambridge Semantics
What you'll learn
- Understand why semantics and graph data models are necessary when implementing a data fabric architecture
Barbara Petrocelli is the vice president of Cambridge Semantics, where she drives efforts to help more organizations harness the power of semantic and graph data models to meet the challenges of today’s analytics revolution. Across generations of analytic architectures—from data warehousing and lakes to today’s big data fabrics—Barbara has led strategic marketing for software pioneers, including Ascential, ProfitLogic, Netezza, and Cambridge Semantics.
Pete Ball is a consultant with Liminal Innovation, a consultancy focused on innovation in the health care industry. Pete applies his experience in data science, software development, intellectual property and business law, research collaborations, joint ventures, and startups to solve problems and exploit opportunities with new technology. Prior to launching Liminal Innovation, Pete worked in technology commercialization at Mayo Clinic Ventures and Johns Hopkins Technology Ventures. Pete serves as co-chair of the IEEE SA P2418.6 Blockchain in Healthcare and Life Sciences IP subgroup. Pete is a registered patent attorney and a member of the Maryland Bar.
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