SAP Datasphere provides a large set of default connections to access data from a wide range of sources, source from SAP as well as non-SAP sources or partner tools, residing in an cloud as well as on-premise environment. Connections are defined in a separate view which can be found in the main navigation window of the left. Connections are individual objects in SAP Datasphere. They are created and maintained per SAP Datasphere Space which means only members of a specific Space are able to make use of the related connections. These connections can be then be used within the different tools (like SQL View Builder, Graphical View Builder or Data Flow) for creating your data models. SAP Datasphere can integrate with both SAP or Non-SAP Source systems and it can be either cloud or on-premise. We have multiple connection types in SAP Datasphere. Each connection type supports a defined set of features. Depending on the connection type and the connection configuration, a connection can be used...
Data Integration based on Data Flows: A Data Flow is used as per SAP Definition “to move and transform data in an intuitive graphical interface”. The Data Flow is created within the part of the Data Builder in SAP Datasphere, and it currently supports the following operators to be used within your transformation process: Join Operator Union Operator Projection Operator Aggregation Operator Script Operator As we are coming from a strong Business Warehouse background, we are always comparing things to the past. Which in our case would be a classical SAP BW on HANA or SAP BW/4HANA. We currently see the Data Flow as a substitute for what used to be in a BW system the transformation. In the data flows, we will be able to use a series of standard transformations without the need of programming knowledge and in a graphic way, but we also have the possibility of creating transformations based on scripts. In a data flow, we will use views or tables...
There are different artifacts available in the Data Builder as below. Table Graphical View SQL View Entity-Relationship model Analytic model Data Flow Replication Flow Transformation Flow Intelligent Lookup Task Chain Now lets discuss on them in detail. Tables: Column structure of the tables can be defined either manually or by using the existing data as template. These are going to get the information from different source systems like flat file / sap / non-sap and can be filled with data from a CSV file or via a data flow. While creating a table we can define the following: Technical and Business names Data Type Semantic Usage Label Column Primary Keys Default values can be/not null Visibility of the columns We can also delete current data and upload new data from files and share the current table with other spaces. Hierarchies could be created and the generated CSN annotations could be edited in order to make it synchronize with the expecting changes. Lets discuss th...
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