Practical guide to SAP HANA and big data analytics / Dominique Alfermann, Stefan Hartmann.

Format:

Book

Author/Creator:

Alfermann, Dominique, author.

Hartmann, Stefan, author.

Language:

English

Subjects (All):

Big data.

Physical Description:

1 online resource (211 pages)

Edition:

1st ed.

Place of Publication:

Gleichen : Espresso Tutorials, [2018]

Summary:

In this book written for SAP BI, big data, and IT architects, the authors expertly provide clear recommendations for building modern analytics architectures running on SAP HANA technologies.Explore integration with big data frameworks and predictive analytics components.

Contents:

Cover

Title

Copyright / Imprint

Table of Contents

Thank you ...

Foreword

Personal dedication

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

More Espresso Tutorials eBooks.

Notes:

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

3-96012-864-9

OCLC:

1134073482