SAP HANA Dresses for Internet of Things and Predictive Analytics

Internet of Things is a new and hot territory today. In last few weeks, Google has demonstrated its interest in the IoT market with project Brillo, a project to connect any device used, not only smartphones, tablets, computers and smartwatch, but also those that are part of everyday life such as home appliances, cars, surveillance systems etc. Cisco also announced the addition of 35 new members and new Intercloud initiative for the Internet of Everything market.

Now, SAP plans to offer companies better tools for big data and the Internet of Things. The latest version of SAP HANA called Service Pack 10 (SPS 10) allows customers to communicate with objects connected to the scale of the business and more efficiently manage large amounts of data. The function of synchronization of remote data, which can synchronize the data between the enterprise and remote sites to the network edge, is one of the most notable innovations in the new version.

Developers can now build IoT Mobile apps and generate large volumes of data that take advantage of the data synchronization distance between the company, and Hana remote locations via the integrated SAP database embedded SQL Anywhere technology. So some data previously scattered in various production areas such as restaurants, and remote locations such as gas stations, vending products, and other sources can be traced, be accessible and re-injected more easily.

This concerns the applications of the Internet of Things, for example, the analysis of data from sensors in the field to better plan preventive maintenance actions that avoid the occurrence of faults. Moreover, the extensive capabilities of integrating Hana data is compatible with the latest Hadoop distribution Cloudera and Hortonworks. Among other remarkable features are the faster data transfer with Spark SQL and the ability to move data between storage tiers.

The opening up to the IoT not only about SAP SQL Anywhere. HANA sees improved other related functions such as streaming data from thousands of sensors in the field and their peaks of transmissions. There is also an architecture IoT layered in which some devices are the gateway and pre-process the events of their area to a deputy before transferring the data to HANA.

Also, SAP expanded language support for the Texanalyse to 32 languages. The SAP HANA text mining now supports SQL syntax. Thus, it will easier for developers to write new applications based on text mining.

SAP has also evolved the analysis capabilities of its software, not just in the core of its Hana platform, but also in its predictive analytics portfolio. For example, version 2.2 of the SAP Predictive Analytics suite has been modified to accommodate large data sets that can be used for predictive modeling.

Its automatic predictive library has been enriched by a large number of algorithms. Other more oriented enhancements such as integration of R model comparison capabilities are also included in the new additions.

In March, IBM announced investment of $3 billion to set up a new dedicated business unit for Internet of Things. The new offer is initially aimed at companies with tourism market, logistics, insurance, public services, transport and retail. Samsung also announced the launch of SmartThings Open Cloud and Artik platform, which will help developers create innovative products and services for the IoT using their connected devices.

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