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Top 7 reasons to attend HANA 2014
1Get straightforward answers to your most pressing questions about SAP HANA and in-memory computing
2Empower yourself to properly evaluate SAP HANA and make smart investment decisions
3Identify hardware, software, and business factors that impact the cost of SAP HANA
4Determine necessary steps to prepare your system landscape and data center for SAP HANA
5Understand what’s required to ensure the security and availability of data in-memory
6Get guidelines for loading data into SAP HANA, processing it, and reporting on its results
7Obtain best practices for administering and supporting an SAP HANA landscape
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For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.
Top predictive analytics software and Top predictive analytics open source software.
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