SAP HANA-Curing Cancer (for real), and More

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  • Published: December 4 2012
At the recent SAPPHIRE NOW and SAP TechEd event in November, SAP announced the next-generation SAP HANA platform. TEC Principal Analyst P.J. Jakovljevic was there and brings you all the details in this TEC Report. Download the report to get the latest developments to SAP HANA and how this platform can help companies gain insights into their business in real time, and may even help healthcare organizations cure cancer.

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As expected, announcements related to the next-gen SAP HANA platform dominated the joint SAPPHIRE NOW and SAP TechEd event, which was held in Madrid, Spain, from November 13–16, 2012. At the event, SAP announced the SAP HANA Platform Momentum Continues with Mission-critical Enterprise Applications and Developer Adoption. SAP HANA will further collapse (and bring closer) the architectural layers between application and data processing. In other words, it will converge database services for transaction, analytics, text, and predictive processing together with application services for the application server, planning, rules, and event stream processing within one in-memory–based architecture. This Swiss Army Knife–like diversity of platform tools has yet to be fully matched by Oracle, IBM, Microsoft, and other platform providers. 

Enabling Real-time Enterprise

According to the press release, new features in SAP HANA are expected to help further eliminate the inherent latency and complexity that exist in today's application architecture. Converging data and application processing (i.e., the ability to process analytics directly on transactional data rather than in off-line data warehouses) all within one in-memory platform architecture should help companies gain insights in real time. SAP HANA will include the following key features:

  • Single database management system (DBMS) for transactional (OLTP) and analytical (OLAP) data processing: SAP Business One on HANA and the recently unveiled SAP 360 Customer solution for customer relationship management (CRM) are some of the example applications that leverage SAP HANA’s native capabilities to support both transactional and analytical workloads, with one representation of data in columnar store kept completely in memory.
  • Natural language-based text analytics: The expansion of advanced text searches with natural language processing will enable organizations to process text and social sentiment data within SAP HANA. This will allow them to filter files, identify entities, and analyze sentiment—across 31 languages.
  • Expanding predictive analytics: SAPA HANA’s expansion of its embedded predictive algorithms will allow enterprises to perform segmentation and clustering analyses—thereby helping them in identifying and retaining profitable customers, improving upsell opportunities on the fly, and detecting fraud. SAP HANA SPS5’s new predictive analysis library functions are to include classification, clustering, outlier detection, and data preparation algorithms; the platform will also support predictive model markup language (PMML) for integrating and sharing predictive models.
  • Expanding extended application services: SAP HANA’s new extended application services will deliver native application server capabilities to help developers quickly develop and deploy 2 and 2½ tier applications directly within the platform using HTLM5, Javascript, SQLScript, XML/A, JSON, and ODATA. Furthermore, these services can be exposed for consumption by device-based applications or by other application servers.

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