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hazy.cs.wisc.edu
We focus on understanding how systems change as we embed increasingly sophisticated analytics in data processing systems. The Bismarck project developed a unified architecture for machine-learning-style analytics in traditional data processing systems (relational databases and Hadoop) that is now used by Pivotal’s MADlib, Oracle, and soon-to-be-released add-on for Cloudera’s Impala. To understand
Bismarck unifies the underlying architecture of in-RDBMS analytics using Incremental Gradient Descent (IGD). What Bismarck Tries to Solve: The increasing use of statistical data analysis in enterprise applications has created an arms race among database vendors to offer ever more sophisticated in-RDBMS analytics. One challenge in this race is that each new statistical technique must be implemented
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