The EDW market continues to evolve as enterprise architecture pros recognize that improved scalability, better performance, and deeper integration with hadoop and NosQl platforms will address their top challenges.
Industry Perspectives
Enabling Federated Querying & Analytics While Accelerating Machine Learning Projects
In this special guest feature, Brendan Newlon, Solutions Architect at Stardog, indicates that for an increasing number of organizations, a semantic data layer powered by an enterprise knowledge graph provides the solution that enables them to connect relevant data elements in their true context and provide greater meaning to their data.
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InsideBIGDATA: An Insider’s Guide to Apache Spark
Apache Spark is an open source cluster computing framework originally developed in 2009 at the AMPLab at University of California, Berkeley but was later donated in 2013 to the Apache Software Foundation where it remains today. Spark allows for quick analysis and model development, plus it provides access to the full data set thus avoiding the need to subsample, as often needed in environments like R.
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