Data Retrieval

Data retrieval is one of the data warehousing processes in SAP. SAP provides mechanisms for retrieving data (master data, transaction data, metadata) from various sources.

You can differentiate as to whether the SAP BW is the target or the source of the data transfer: If data from various sources is retrieved from various sources for transfer into a SAP BW system, the SAP BW system is the target of the data transfer.

If the data from SAP BW is retrieved for distribution within the SAP BW or for distribution into analytical applications or other applications, the SAP BW system is the source or hub in relation to data transfer. The following section will describe

Which sources are available for data transfer to a SAP BW and how the sources are connected to SAP BW as source systems, along with the ways that the data from the sources can be transferred.

The extraction and transfer of data generally occurs upon request of SAP BW (pull). For more information on how such a data request is established and how the loading process can be monitored in SAP BW underProcess Management. The graphic shows the sources and transfer mechanisms described below:



You can find more detailed information under:

Source System
Data Extraction from SAP Source Systems
SOAP-Based Transfer of Data
Transferring Data with UD Connect
Transferring Data with DB Connect
Transferring Data from Flat Files Transferring Data from External Systems

Which options there are for Data Transfer within the SAP BW system or in other SAP systems or external applications.

You can find more detailed information under:
Data Mart Interface
Open Hub Service

Comments

Post a Comment

Popular posts from this blog

SAP Datasphere Data Integration - Part 1 - Introduction and Integration using Remote Tables

Image
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...
Read more

SAP Datasphere - Data Integration - Part 2 - Data Integration based on Data Flows and External Sources

Image
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...
Read more

SAP Datasphere - Data Builder types and creation of Tables

Image
 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...
Read more