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The In-Memory Revolution: How SAP HANA Enables Business of the Future

Posted By: AvaxGenius
Date: 17 Oct 2023 23:44:37
The In-Memory Revolution: How SAP HANA Enables Business of the Future

The In-Memory Revolution: How SAP HANA Enables Business of the Future by Hasso Plattner , Bernd Leukert
English | PDF (True) | 2016 | 284 Pages | ISBN : 3319166727 | 7.4 MB

This book describes the next generation of business applications in the innovative new SAP Business Suite 4 SAP HANA (SAP S/4HANA), exploiting the revolutionary capabilities of the SAP HANA in-memory database. Numerous real-world examples are presented illustrating the disruptive potential of this technology and the quantum leap it has facilitated in terms of simplicity, flexibility, and speed for new applications. The intuitive structure of this book offers a straightforward business perspective grounded in technology in order to enable valuable business insights drawn from the wealth of real-world experience of the book’s two authors, both prominent figures in the field of business application systems: Hasso Plattner and Bernd Leukert.
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ABAP Development for SAP HANA

Posted By: DZ123
Date: 15 May 2022 18:18:26
ABAP Development for SAP HANA

Hermann Gahm, Thorsten Schneider, Christiaan Swanepoel, "ABAP Development for SAP HANA"
English | 2016 | ISBN: 1493213040 | EPUB | pages: 641 | 35.6 mb
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Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement (Repost)

Posted By: AvaxGenius
Date: 5 Aug 2020 22:37:41
Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement (Repost)

Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement by Jan Schaffner
English | EPUB | 2014 | 140 Pages | ISBN : 3319004964 | 1.44 MB

With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers.
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