There is a lot of confusion with the definition of graph databases. In my opinion, any definition that avoids any reference to the semantics of nodes and edges or their internal structure…
Added by Athanassios Hatzis on June 17, 2017 at 3:00am — No Comments
There are endless discussions on the databases arena about which DBMS is best suited for operational or data warehousing analytics, which one is the most efficient for online transaction processing, or which one is suitable for semantic integration. Recently graph databases are growing in popularity, especially in the enterprise space, and perhaps that adds more headache on those vendors that try to differentiate from competition…Continue
In this short webinar watch how we help leading Investment Managers, Banks, Brokers, Asset Managers and Hedge Funds supercharge their existing investment approaches with Big Data, Semantics and Machine Learning.
Director James Phare talks about how we use machine learning algorithms, semantics and other techniques to process huge volumes of unstructured, semi structured and structured data in order to identify hidden risks and opportunities.
Added by Zygimantas Jacikevicius on November 30, 2015 at 5:30am — No Comments