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IBM Netezza Analytics provides a game-changing experience for Data Scientists by allowing data miners and quantitative analysts to use all the data while still achieving high performance throughout the entire modeling cycle: from data preparation through exploratory data analysis through to model scoring and deployment.
By taking advantage of the massively parallel processing architecture of an IBM Netezza Appliance, analytics can be performed in-database so that there is no superfluous data movement. This harnesses the full power of IBM NetezzaAppliance and allows data miners and quantitative analysts to greatly reduce the time to build and deploy or score a model in a single environment while using increasing massive data sets and shrinking the time from model concept to deployment
This course focuses on how to effectively exploit the IBM Netezza Analyticsplatform to build, test, and score analytic models in-database. Participants in this course learn how to use: