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sap hana|sap hana database| Intraoduction to sap hana

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SAP HANA, sap hana implementation scenarios, sap hana deployment scenarios, SAP HANA Implementations, sap hana implementation and modeling, sap hana implementation cost, sap hana implementation partners, Applications based on SAP HANA, SAP HANA Databases.
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  Internal Introduction to SAP HANA   In-Memory Computing Technology that allows the processing of massive quantities of real time data in the main memory of the server to provide immediate results from analyses and transactions  Increasing Data Volumes Calculation Speed Type and # of Data Sources Lack of business transparency Sales & Operations Planning based on subsets of highly aggregated information, being several days or weeks outdated. Reactive business model Missed opportunities and competitive disadvantage due to lack of speed and agility  Utilities: daily- or hour-based billing and consumption analysis/simulation. In-Memory Computing Technology Constrained Business Outcome Sub-optimal execution speed Lack of responsiveness due to data latency and deployment bottlenecks  Inability to update demand plan with greater than monthly frequency Current Scenario Information Latency  TeraBytes of Data In-Memory 100 GB/s data througput Real Time Freedom from the data source Improve Business Performance  IT rapidly delivering flexible solutions enabling business  Speed up billing and reconciliation cycles for complex goods manufacturers  Planning and simulation on the fly based on actual non-aggregated data Competitive Advantage E.g. Utilities Industry:  Sales growth and market advantage from demand/cost driven pricing that optimizes multiple variables  –  consumption data, hourly energy price, weather forecast, etc. In-Memory Computing Leapfrogging Current Technology Constraints Flexible Real Time Analytics    Real-time customer profitability  Effective marketing campaign spend based on large-volume data analysis Future State
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