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SAP HANA connect with the Internet of Things : SAP HANA platform, helps customers successfully extend all the key functionalities of their core business to the edge of the network where remote business transactions and events actually occur. The latest release delivers new capabilities that help customers connect with the Internet of Things (IoT) at enterprise scale, manage Big Data more effectively, further extend high availability of data across the enterprise and develop new applications. “SAP HANA gives customers one integrated platform for transactional and analytic workloads,” said Quentin Clark, chief technology officer, SAP. “The new capabilities of SAP HANA ensure data center-readiness, enable synchronization of data to any remote system, extend high availability and disaster recovery of enterprise data and perform advanced analytics. We are readying our customers for the inevitable digitization of our entire economy.”
The new remote data synchronization feature of SAP HANA enables organizations to synchronize data between the enterprise and remote locations at the edge of the network. Developers can now build IoT and data-intensive mobile apps that leverage SAP HANA remote data synchronization between the enterprise and remote locations via the SAP SQL Anywhere suite – a leading enterprise-ready, embeddable database technology with more than 12 million licenses. Now, enterprise data can be securely captured, accessed and fed back into SAP HANA from remote workplaces such as retail stores and restaurants. In addition, customers can collect and analyze IoT data for performing critical tasks at distant locations including predictive maintenance on ships, pumping stations and in mines with low bandwidth or intermittent connections or even while offline.
Businesses can continue to harness Big Data using expanded smart data integration capabilities of SAP HANA to the latest Hadoop distributions from Cloudera, Hortonworks and MapR. Additional enhancements for SAP HANA include faster data transfer with Spark SQL and a single user interface (UI) for SAP HANA and Hadoop cluster administration using Apache Ambari. IT organizations can also take advantage of new rules-based data movement among multiple storage tiers based on business requirements. For example, organizations can set up rules to keep one year of data in memory and set a rule to move older data to disk storage or Hadoop. Finally, customers can have greater confidence in the data they are collecting with new smart data quality capabilities for SAP HANA to cleanse data and merge duplicates by using an easy-to-use, Web-based development workbench.
SAP HANA delivers new high availability and disaster recovery capabilities to help ensure data center readiness and support for always-on, mission-critical applications. Features such as 1-to-n asynchronous replication, auto-host failover for dynamic tiering and incremental backups help reduce system downtime and facilitate true business continuity across the enterprise. In addition, companies can leverage the NUMA (non-uniform memory access) -aware architecture of SAP HANA to support large scale systems with more than 12TB of memory to rapidly process large data sets and improve overall business performance. Enhancements in workload management help further improve mixed workload performance to optimize resource more effectively.
With the expanded data processing capabilities in SAP HANA SPS10, businesses can accelerate the development of powerful applications with advanced analytics. SAP HANA text mining now extends to the SQL syntax, making it easier for developers to build next-generation applications. The new spatial processing enhancements of SAP HANA include support multidimensional objects and spatial expressions in SAP HANA models or SQLScript. As a result, developers can incorporate engaging visualizations in their business applications.
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