The Smart Data Blog

Smart Data Lake or Data Landfill? The Difference May Be "Semantic" [SlideShare]

Posted by Kirk Newell on Jun 7, 2016 1:47:19 PM

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Data lakes are quickly becoming a hot topic as enterprises determine how best to organize and access the large volume of data they have been generating. Data Lakes are attractive for several reasons, including their ability to expand data across the enterprise while maintaining trust and security with data governance.

In principle, data lakes should be transparent, manageable and governable. There are many approaches to making data lakes governable, each with their own pros and cons. Cambridge Semantics' Anzo Smart Data Lake™ utilizes the semantic approach, which is driven by taxonomies and ontologies, to link and contextualize diverse enterprise data at scale. The graph models in the Anzo Smart Data Lake provide users with self-service data discovery, analytics and visualization capability across all entities and relationships in the data lake.

In this two part webinar, Surya Mukherjee, Senior Analyst at Ovum Research, and Marty Loughlin, VP of Financial Services at Cambridge Semantics, explore how semantics is being used to make your data lake "smart" and discuss data landfills versus "smart" data lakes, the key components of a smart data lake and the semantic approach to data lakes.



Smart Data Lakes allow enterprises to analyze their data (both structured and unstructured) in order to gain valuable and actionable insights into their business which, in turn, allow them to make better, fact-based decisions that translate into reduced risk and increased ROI.

To learn more, view the full webinar here.

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Topics: Smart Data, Semantics, Financial Services, Anzo, Smart Data Lake