Chaos Orchestra - The Knowledge Graph Podcast #10 - The Future of Data Management - Sean Martin
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Sep 24, 2021 
Sean Martin, Co-founder and CTO of Cambridge Semantics, shares insights on knowledge graphs and their role in transforming data management. He discusses how these technologies empower companies to access actionable insights and surpass traditional search capabilities. The conversation dives into the evolution from data warehousing to graph technologies, highlighting the integration hurdles faced by enterprises. Sean emphasizes the importance of adapting IT tech stacks and rethinking data strategies for long-term business success and innovation.
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Challenges of Enterprise Data Integration
- Enterprises struggle with data integration due to high costs, risks, and scarcity of resources compared to tech giants like Google.
- Their many business priorities dilute focus, limiting investment in data integration efforts.
Integrate Graphs with Existing Systems
- Introduce knowledge graphs as an overlay to existing enterprise systems to reduce risk.
- Use open data standards to avoid creating new data silos and future-proof your data.
Golap Enables Scalable Graph Analytics
- Golap, or graph online analytic processing, enables graph databases to handle warehouse-scale analytical queries at high performance.
- This advances graph tech beyond transactional use cases, enabling large scale data integration and analytics.