SAP Master Data Governance
indgår i SA+P Press serien
indgår i SAP Press Englisch serien
- Indbinding:
- Hardback
- Sideantal:
- 761
- Udgivet:
- 10. marts 2023
- Udgave:
- 23003
- Størrelse:
- 183x49x261 mm.
- Vægt:
- 1704 g.
- Ukendt - mangler pt..
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
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Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af SAP Master Data Governance
Manage your SAP S/4HANA and SAP ERP master data with this hands-on guide! Walk through implementing, configuring, and using SAP Master Data Governance, both on-premise and in the cloud! Whether your organization requires custom applications or works with out-of-the-box central governance, consolidation, and mass processing, you'll find detailed instructions for every step. From data modeling to data replication, this comprehensive guide will help you master your data!a. ModelingCreate and extend data models by mastering entity types, attributes, hierarchies, and other elements. Use the floorplan manager for UI modeling and explore the use of change requests and workflows in process modeling.b. Data Quality and ReplicationEnsure your organization is using quality data in its operations. Learn to remediate and your enrich data. Then, move that data to where it needs to be in your system using tools like the data export framework, data import frameworks, and entity-based upload/download.c. Integrations and ExtensionsPut SAP MDG to use in your entire landscape by integrating with SAP Integration Suite, Central Finance, SAP Product Lifecycle Management, SAP Ariba, and more. Explore SAP MDG's quick start options and complementary solutions from SolEx.Highlights Include:On-premise and cloud deploymentData modelingProcess modelingData qualityData replicationData migrationConsolidationOperationsMass processingIntegrationsExtensionsAnalytics
Highlights:
On-premise and cloud deployment
Data modeling
Process modeling
Data quality
Data replication
Data migration
Consolidation
Operations
Mass processing
Integrations
Extensions
Analytics
Highlights:
On-premise and cloud deployment
Data modeling
Process modeling
Data quality
Data replication
Data migration
Consolidation
Operations
Mass processing
Integrations
Extensions
Analytics
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