Posted on March 26, 3 minute read BW 7. Which course should I take first? Typically, the BW and BW courses are the first course an individual should take. The BW course covers all aspects of the Query Designer as well as execution and navigation of the queries. As of the 7.
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Connect with non-ODP data providers and consumers. BusinessObjects Data Services acts as central data distribution hub allowing integration of data from multiple sources, to transform, standardize and de-duplicate them and to load them into multiple different targets.
It should be noted that at the time of writing, the integration with ByDesign is a prototype and not generally available. Extraction Make operational application data available for other scenarios. Applications expose their local analytical views that are suitable for extraction as ODPs. Access to ODPs is enabled by a standard consumer interface that exposes a unified representation of analytical views implemented with different platform-specific architectures.
Extraction with ODPs embraces both, direct access as well as full and delta replication of operational data. An ODP context is a technical component within the application platform that transforms analytical views of a given technology to ODPs. The application owns a registry to control which of the available local analytical views are released for extraction via this ODP context.
The ODP consumer interface decouples consumers from the providing business applications. Consumers access ODPs of a business application via this interface. The infrastructure maintains a delta queue for extraction of full and delta data with support for concurrent access by multiple consumers.
For ensuring the extraction reliability, the delta queue implements the EOIO data delivery and preserves the transactional data coherence. Model-Based Approach Information about the capabilities and data structure of ODPs is communicated between providing business application and ODP consumer based on a common meta model see figure below. A context represents a source of ODPs. ODPs are always accessed within a context. They represent an analytical view provided by the application, which shall become visible to external consumers.
ODPs encompass metadata and data, both of which are provided by the containing context. An ODP is always classified according to the data it represents.
Data for all but transactional ODPs may be time-dependent. Common attributes of an ODP include an identifier, a language-dependent name, and the supported access modes full extraction, delta extraction, direct access , and the supported modes for delta extraction.
The ODP data structure consists of one or more fields. They can be associated to corresponding key fields of other ODPs providing access to the corresponding master data or texts ODP Consumer Interface The platform provides the standard interface for accessing ODPs exposed by applications and consuming their data. The interface supports different extraction modes: Direct access for querying selected data directly at the source. This kind of extraction is performed with a synchronously executed operation returning the complete query result in a single response.
Full replication for copying a selective snapshot of the entire ODP data. Replication involves orchestration of several interface operations. The interface implements a cursor concept for reliable paged access to packages of limited size with the option to repeat individual fetch operations. Delta replication for an initial load of a subset of the entire ODP data comparable to a full replication followed by a continuous feed of changes to these data modifications, deletions, new records.
For this kind of extraction, consumers subscribe to ODPs, and the ODP infrastructure maintains the extraction state per consumer.
Replication is performed as a sequence of requests each of which is an orchestration of several interface operations. The first request performs the initial full replication, subsequent requests at later times get the incremental deltas to these data. The interface operations and signatures adhere to the terms introduced by the meta model.
The interface offers: Catalog operations to retrieve available contexts and their ODPs. Metadata operations to get an overview description of a given ODP. The interface is implemented for two communication channels. At the time of writing, the interface has not been generally released, but only for specific consumers and integration scenarios: Embedded Analytics in Business Suite 7, BW Enterprise Data Warehouse and Data Services. Implementation This section gives an overview of the currently available implementations of ODP providers and consumers.
A BW DataSource defines an extraction structure that is filled by an extractor implementing the logic to retrieve the relevant data from the ABAP system. There are application-specific extractors, each of which is hard-coded.
It enables operational analytics on the application data locally in the application system without replicating the data to a data warehouse system. It allows replicating the view data into another data warehouse system or to perform BW queries directly on HANA views.
Examples include calculations of key figures, restricted key figures, currency conversions, joins and unions, which can be defined in HANA views. The results of such calculations can then also be accessed via ODP. It can make tables from SAP sources available as delta queues. Starting with release 7. It is not necessary to replicate the data into BW. Starting with NW 7. ODPs could be consumed in many more consumption scenarios, if the entry barriers for accessing them would be lowered.
It opens up a lightweight method for data extraction by applying ubiquitous Web-oriented technologies based on open standards OData and HTTP. The key concept for expressing semantics of CDS models are annotations that are attached to elements of a model entities, views. Applying annotations with analytical semantics, CDS views can be annotated such that the resulting metadata would allow generating transient ODPs.
Nill For detailed information about the content of each sap bw, please read the course descriptions below. Information anytime, anywhere Companies need sap bw be in a position to collect, prepare, and analyze data quickly in order to react efficiently to the changing demands of the market. Sap bw learn how to use the planning functions in common application scenarios. The sum of all deicions made for the entire sap bw to produce b valid and stable corporate data warehouse solution that satisfies all of the demands for integrated and consistently structured information.
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