SAP Data Intelligence
Teja Atluri, Dharma, Bardhan, Devraj, Ghosh, Santanu, Ghosh, Snehasish, Saha, Arindom
Produktnummer:
185f7855eab1cd4be2bcf869e4f8a5cb9d
Autor: | Bardhan, Devraj Ghosh, Santanu Ghosh, Snehasish Saha, Arindom Teja Atluri, Dharma |
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Themengebiete: | SAP Business Technology Platform (SAP BTP) SAP Cloud Platform (SAP CP) SAP DI SAP Data Hub |
Veröffentlichungsdatum: | 26.02.2022 |
EAN: | 9781493221622 |
Auflage: | 1 |
Sprache: | Englisch |
Seitenzahl: | 783 |
Produktart: | Gebunden |
Verlag: | Rheinwerk Publishing |
Untertitel: | The Comprehensive Guide |
Produktinformationen "SAP Data Intelligence"
Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you’ll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases

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