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Record Nr. |
UNINA9910869173503321 |
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Autore |
Arziaev Aleksei |
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Titolo |
Data Migration Management for SAP S/4HANA : A Practical Guide / / by Aleksei Arziaev |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024 |
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ISBN |
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9798868803338 |
9798868803321 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (201 pages) |
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Disciplina |
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Soggetti |
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Business - Data processing - Computer programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: Data Migration Scoping -- Chapter 3: Data Migration Planning and Preparation -- Chapter 4: Data Migration Design -- Chapter 5: Data Migration Testing and Validation -- Chapter 6: Actual Data Migration and Data Acceptance -- Chapter 7: Post Data Migration Activities -- Chapter 8: Conclusion. |
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Sommario/riassunto |
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This book serves as a comprehensive step-by-step guide to managing data migration for new on-premises SAP S/4HANA implementations. It is tailored for projects ranging from small to large, with a focus on the managerial aspects of the data migration process rather than the technical details. You’ll follow a project-led approach, enriched with a practical case study, and a comprehensive methodology for data migration planning and documentation. Then traverse through a detailed plan on managing and documenting data migration throughout the project lifecycle. This book utilizes the general SAP Activate methodology for on-premises solutions as its foundational framework, enhancing it with specific strategies for data migration. Data Migration Management for SAP S/4HANA methodically covers planning, organizing, and monitoring the data migration process. It serves as an essential guide for professionals tasked with implementing SAP S/4HANA in their business. You will: • Significantly decrease the time needed for both the preparation and execution of data migration activities • Foster clear transparency in data migration processes for all stakeholders, including the customer and the project team • Facilitate a |
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