Graph databases have emerged as yet another way to connect data points -- but graph processing requirements for big data have sometimes kept them out of the reach of real-time, operational analytics.

Graph Signal Processing (GSP) extends classical signal processing to data defined on irregular domains represented by graphs. In GSP, measurements or features are treated as signals on the vertices of ...

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Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...

The massive data sets, complex processing capabilities and advanced analytical models in the current digital business landscape create the perfect storm of opportunity for data and analytics. After ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...