SAP Data Management Suite as a complex for working with Big Data in companies
This year, at the SAPPHIRE NOW conference, we showed a new set of solutions for working with big data - the SAP HANA Data Management Suite. Previously, many of our materials featured the name SAP Business Suite - today we will try to explain a little what Data Management Suite is and why it appeared at all in the SAP solution portfolio. 3r33130.
If earlier, when developing solutions for enterprise resource management, SAP focused on the implementation of standard business processes (this was how the Business Suite was created), now the focus has shifted to data management. This requires a special platform - powerful, functional, but also flexible and adaptable. To turn data into business decisions or analytics, you first need to put them in order. Usually, behind the word “big data” there is a large amount of diverse, inconsistent information coming from various sources and in colossal amounts. 3r33130.
SAP Data Management Suite is a tool that helps build data management in a corporation. But it is also a platform for corporate business applications that use these companies. 3r33130.
OSIsoft connectors have been developed that allow you to receive and process information from various sensors or sensors. 3r3117.
The second element of the architecture is SAP Data Hub. HANA is able to obtain data from various sources, but managing all corporate data — and this is a large array of information from various sources, including various production systems, Hadoop, third-party corporate data warehouses — requires a powerful industrial ETL solution. 3r33130.
The SAP Data Hub is a complex in which all the related tasks are concentrated: data extraction, processing, transformation, enrichment, data transfer to the “consumer” services. The service has a simple graphical interface for building data flows, which helps to manage a complex infrastructure. 3r33130.
The main directions for the use of Data Hub:
3r3116. Scripts for the Internet of things. SAP Data Hub helps to process the huge flow of information that comes from sensors and is stored in distributed systems. It also allows you to build the processing of raw data, bringing them to a single format and levels of aggregation. 3r3117.
3r3116. Solutions using Machine Learning. In this case, we always encounter a large amount of data, usually stored in Hadoop. SAP Data Hub has tools for automating the process of calling and processing data from its repository. 3r3117.
3r3116. To build an integrated storage of big data, the architecture of which provides many data sources with different structure and speed of operation 3r3r117.
The next important element of the corporate data management platform is the Big Data processing and storage tools. Developing solutions using big data requires not only systems for distributed storage of structured or unstructured data (we provide such PaaS solutions on the cloud-based SCP platform), but also to ensure the flow and processing of this data (SCP IoT services help here) . 3r33130.
Finally, for quick launch of new solutions for productive operation in SAP Data Management Suite there is a tool - Enterprise Architecture Designer. This is an application for the development of corporate IT architecture, which allows you to build optimal business processes and information systems architecture that satisfies the requirements of IT departments and businesses. 3r33130.
In the following articles we will talk about the individual solutions that are included in the complex of SAP Data Management Management Suite. 3r3138.
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