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By:Dominique Alfermann,Stefan Hartmann
Published on 2018-12-20 by Espresso Tutorials GmbH


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. Obtain the tools you need to assess possible architecture scenarios and get guidelines for choosing the best option for your organization. Know your options for on-premise, in the cloud, and hybrid solutions. Readers will be guided through SAP BW/4HANA and SAP HANA native data warehouse scenarios, as well as field-tested integration options with big data platforms. Explore migration options and architecture best practices. Consider organizational and procedural changes resulting from the move to a new, up-to-date analytics architecture that supports your data-driven or data-informed organization. By using practical examples, tips, and screenshots, this book explores: - SAP HANA and SAP BW/4HANA architecture concepts - Predictive Analytics and Big Data component integration - Recommendations for a sustainable, future-proof analytics solutions - Organizational impact and change management

This Book was ranked at 30 by Google Books for keyword best architecture books 2018.

Book ID of Practical Guide to SAP HANA and Big Data Analytics's Books is CmaADwAAQBAJ, Book which was written byDominique Alfermann,Stefan Hartmannhave ETAG "f9oaS3toRIU"

Book which was published by Espresso Tutorials GmbH since 2018-12-20 have ISBNs, ISBN 13 Code is 9783960128649 and ISBN 10 Code is 3960128649

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Book which have "235 Pages" is Printed at BOOK under Category

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Download Practical Guide to SAP HANA and Big Data Analytics PDF Free

Download Practical Guide to SAP HANA and Big Data Analytics Books Free

Download Practical Guide to SAP HANA and Big Data Analytics Free

Download Practical Guide to SAP HANA and Big Data Analytics PDF

Download Practical Guide to SAP HANA and Big Data Analytics Books

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