Читать книгу Practical Guide to SAP HANA and Big Data Analytics - Stefan Hartmann - Страница 3

Cover

Title

Copyright / Imprint

Foreword

1 Introduction

1.1 Intention

1.2 Objective

1.3 Target audience

1.4 In scope/out of scope

1.5 Content

1.6 Definition of terms

2 Building blocks of an SAP HANA architecture

Overview of SAP HANA related tools

2.1 SAP HANA functionalities

2.2 SAP S/4HANA Embedded Analytics

2.3 SAP BW/4HANA

2.4 Data provisioning tools

2.5 Analytics components

2.6 Front-end tools

2.7 Big Data ecosystems

2.8 Cloud platforms

2.9 Summary

3 SAP HANA BI architectures

3.1 SAP HANA BI reference architecture

3.2 SAP HANA native

3.3 SAP BW/4HANA

3.4 SAP HANA merged with Big Data

3.5 SAP HANA merged with analytics

3.6 SAP HANA in the cloud

3.7 SAP HANA mixed scenarios

3.8 Migration scenarios

3.9 Architecture decision matrix and best practices

3.10 Summary

4 Organizational principles

4.1 Landscape enablement

4.2 Data Governance

4.3 Development environment

4.4 Data security and authorizations

4.5 Change process and training

4.6 Summary

5 Summary and outlook

5.1 Summary

5.2 Outlook

A About the Authors

B Disclaimer

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