IBM PureData System for Analytics dramatically simplifies analytics by consolidating all analytic activity to one place, where the data resides. Moving analytics to the IBM PureData System is straightforward with IBM’s embedded analytic platform. With support for PMML 4.0 models, data modelers and quantitative teams can operate on the data directly inside the appliance instead of having to off load massive data volumes to a separate infrastructure, and then have to deal with the associated data preprocessing, transformation, and movement.
Data scientists can build their models using all the enterprise data, and then iterate through different models much faster to arrive at the best solution. Once the model is developed, it can be seamlessly executed against the relevant data in the appliance. Prediction and scoring can be done where the data resides. Users can get their predictive scores in near real-time, helping operationalize advanced analytics and making it available throughout the enterprise. Included with every PureData System for Analytics system is IBM Netezza Analytics software.
IBM Netezza Analytics offers a built-in analytical infrastructure and extensive library of statistical and mathematical functions, supporting a breadth of analytic tools and programming languages, including Open Source R. It is delivered with a library of more than 200 prebuilt, scalable, in-database analytic functions that execute analytics in parallel while abstracting away the complexity of parallel programming from the developers, users and DBAs.
The Netezza Analytics functionality also includes in-database geospatial analytics that are compatible with the industrystandard ESRI GIS formats. This enables easy integration with existing geospatial analytic environments. In addition, if models are developed using SPSS Modeler or SAS, IBM Netezza Analytics will accelerate the development and scoring of these models. The IBM PureData System for Analytics N3001 brings advanced security to your data in this insecure world. Building on the appliance simplicity model, all data is stored on selfencrypting disk (SED) drives, providing security while not impacting performance. The protection provided by the SED implementation supports the leading industries in security compliance—health care, government, and the financial sectors. This system utilizes strong authentication that prevents threats due to unauthorized access, based on the industry-standard Kerberos protocol.