The SAP engineers as well as the software professionals at Sapphire Now have offlate been discussing the possible restrictions and likelihood for SAP S/4HANA for acting as a robust platform primarily for the purpose of managing the enterprise based strategies for Internet of Things as well as Big Data.
The general notion in the mindset of the people is that Internet of Things (IoT) is capable of sending out a tidal wave of enormous quantities of data in any enterprise. It is has been projected that billions of controllers and sensors, who are all capable of connecting to some other machine for the instruction and analysis, are eagerly waiting for the creation of trillions of data events along with transactions. The SAP managers and engineers has gone ahead and shared their views through a series of conversations when they were probed on how an organization could simply reconcile huge data quantities with in-memory built-for-speed computing.
Initially the SAP engineers admitted that searching for solutions for the already existing IoT (as well as related Big Data) issues which were in a work in progress. At present there are quite a few products along with customers utilizing the same however engineers need to offer more. The process of taking decisions which are made close to sensors and related edge systems, especially when it comes to gauging the systems that are currently in place, the process must be initiated.
As per SAP, it is not important for the control decisions to be taken by systems at the core of an enterprise and these are capable of being managed at the edge by the control as well as the concentration systems. For eg: SQL Anywhere acts as the lightweight database manager which can connected to a single-board computer. This collects gathers data from a wide array of sensors and makes moment-to-moment alterations for controlling those systems.
By using Mobilize, the full sensor data and the change data (which refers to data on the major changes or error conditions) is uploaded onto the enterprise database. Mobilize is a product which queues the data and uploads it in bursts once the connectivity and system resources are made available. During this time the Internet of Things looks like a burden along with the time-critical problem which is related to big data. Your organization can overcome these obstacles by revisiting their decisions in near real time. Also once the controller and sensor data has been uploaded, it can trigger off the processes of data-tiering.
A conversation with the SAP engineers, made me understand the significance of the decisions related to whether data was "warm," "hot," "cold," or in between one of these. Though some of this data can be categorized on the basis of their origin or content, the other data can be sorted on the basis of the analysis which takes place in the enterprise core. As per SAP engineers, this type of analysis can occur most rapidly in relation to a HANA database.
A HANA database which is utilized for referencing data linked to other databases (including MongoDB, Hadoop, Oracle, or any other commercially marketed database) can be used for Smart Data Access from SAP, which is a data virtualization feature and this permits HANA control structures to look into "virtual data tables" spanning multiple databases. Smart Data Access is well known today has it managed to sort out its limitations reasonably well, ever since the launch of SAP HANA SP. The conditions in which Smart Data Access has failed sufficient lay emphasis on the minute-by-minute processes and control operations which are facilitated by the Internet of Things.
SAP is now focusing towards utilizing "streaming". This is a concept which integrates the features of HANA for analysis without assuming that all data is "hot", till it is otherwise proven. Most importantly streaming plans on using a specific HANA instance as a Hogwarts Sorting Hat (high-speed) which is used for determining whether the data flowing in must be sent to any cooler location for all future analysis or needs to be stored for use in a different HANA database. According to the SAP engineers, the step is essential which permits the big data analysis in moving ahead at the speed of HANA; this process is most difficult to capture.
In this reference the term "streaming" to the depositing of incoming data in a database related to SAP HANA, for a period which is long enough for sorting algorithms to go about their jobs. Once the data is prioritized by its system, it is sent on its way, thereby leaving enough space for other data bits to come in. Like all plans of the same type a very huge percentage of the system's performance is reliant on on caching, buffering, and so on and so forth.
Additionally, pieces of service and software are the places where few rough edges are present. Engineers are very sure that over the next few months they will be in a far better position in demonstrating the full capability and speed related to all the translations and connections which have to occur.
Components which are linked to SAP’s big data universe are quite unlike to begin and end with Hadoop and HANA. SAP engineers have stated Cloudera as their favorite products in many discussions. A well-known Hadoop-based scalable data management system, Cloudera encompasses few central pieces of Hadoop and other software inputs for a free flow of data. Cloudera acts as a data source and reliable management structure for binding everything together, and boasts of connectors to several third-party analytics packages and databases which a company may think of integrating into its complete big data solution. Cloudera also includes SAP BI, which can acts as integral part of the system. The BI suite also comprises of many analytics bits which make good sense of the waves of the big data which roll in.
As per the customer base of SAP IoT, the "things" which raises the question can be linked to industrial shop floors instead of those attached to the customer. The controlled systems are more capable of manipulating the industrial processes to a very large extent than the home air conditioning. Irrespective of all this, the data volumes are expected to be high and the given timeframes in which the systems are required to respond to related problems are likely to be very small. SAP has made many significant early steps for empowering their partner and customer plans, with the help of HANA. Incase, the company is successful in polishing and fitting the last of its pieces as promised, SAP S4/HANA plans to occupy a daunting position in the overall IoT market.