Michael is SVP of Engineering and Co-Founder at Stardog, where he manages their world-class engineering organization and helps shape the direction of the Stardog Enterprise Knowledge Graph. He has over 15 years of experience in the AI, Semantic Technology, and Graph Database fields. Prior to Stardog, Michael performed research on the use of graph-based technologies in pervasive computing environments while at Fujitsu Labs of America. Michael is a graduate of the University of Maryland in Computer Science and an alumnus of its MINDLAB, a seminal research group in Semantic Web technology.
2021 Talk: How to Build a Data FabricThe enterprise data landscape is increasingly hybrid, varied, and changing. The emergence of IoT, rise in unstructured data volume, increasing relevance of external data sources, and trend towards hybrid multi-cloud environments are obstacles to satisfying each new data request. The old data strategy centered around relational data systems is fundamentally broken. Enterprise data fabrics offer a new way forward. The data fabric weaves together data from internal silos and external sources and creates a network of information to power your applications, AI, and analytics. Quite simply, they support the full breadth of today’s complex, connected enterprise.
- But how to achieve a data fabric? In this session, you’ll learn:
- Key steps for building a data fabric and how to leverage existing data management investments
- The technical skills and resources required to begin your data fabric implementation
- An MVP methodology for data modeling to drive compounding business value