Slides available here:
Big data has given rise to massive volumes of highly interconnected and increasingly complex information, coming from many sources. This introduces a host of implementation challenges that require knowledge in building intelligent systems. While many novel solutions exist to model and manage complex data – across the NoSQL and especially the Graph Database space – there are crucial limitations to these solutions.
We discuss how to get the most out of complex, multi-sourced, heterogeneous data by showing how to model it expressively, migrate it efficiently, and query it intuitively; using knowledge graphs as a data platform for knowledge management. Learn how knowledge graphs can eliminate many of the challenges of working with complex data: traversing complex relationships, drawing crucial insight, and effectively analyzing data to fully harness its value.
Help in managing your complex data through a reference architecture and connected data platform is available at www.graphgrid.com
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