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Architecting Solutions with SAP Business Technology Platform

You're reading from Architecting Solutions with SAP Business Technology Platform An architectural guide to integrating, extending, and innovating enterprise solutions using SAP BTP

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781801075671

Length 432 pages

Edition 1st Edition

Tools

SAP Business Technology Platform

Concepts

Enterprise Resource Planning

Authors (2):

Eric Du

Serdar Simsekler

View More author details

Table of Contents (22) Chapters

Preface

1. Part 1 Introduction – What is SAP Business Technology Platform?

2. Chapter 1: The Intelligent Enterprise FREE CHAPTER

3. Chapter 2: SAP Business Technology Platform Overview

4. Part 2 Foundations

5. Chapter 3: Establishing a Foundation for SAP Business Technology Platform

6. Chapter 4: Security and Connectivity

7. Chapter 5: Non-Functional Design for Operability

8. Part 3 Integration

9. Chapter 6: Defining Integration Strategy

10. Chapter 7: Cloud Integration

11. Chapter 8: Data Integration

12. Part 4 Extensibility

13. Chapter 9: Application Development

14. Chapter 10: Digital Process Automation

15. Chapter 11: Containers and Kubernetes

16. Part 5 Data to Value

17. Chapter 12: SAP HANA Cloud

18. Chapter 13: SAP Data Warehouse Cloud and SAP Analytics Cloud

19. Chapter 14: SAP Intelligent Technologies

20. Index

Why subscribe?

21. Other Books You May Enjoy

Data architecture concepts and patterns

To support the data-driven use cases, architecture concepts and patterns have evolved over the years to solve specific problems. Let’s review them together, and later, we will discuss SAP data management capabilities in this context.

OLTP, OLAP, HTAP

The terms online transaction processing (OLTP) and online analytical processing (OLAP) look similar but refer to two different kinds of data systems. An OLTP system captures and manages transactions in a database, in the form of insertion, updating, and deletion of data frequently. Tables in an OLTP database are usually normalized, and data integrity must be taken care of in case of any transaction failure. In comparison, OLAP’s main operation is to extract multidimensional data for analytics, which has less frequent transactions but requires a longer time to process data as data needs to be denormalized and joined together by running complex queries to turn data into information...

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Authors (2)

Serdar Simsekler

Serdar Simsekler

Serdar Simsekler is passionate about delivering innovative and robust technology solutions for business needs. His focus areas are enterprise architecture, IT strategy, innovation, cloud architecture, integration patterns, and software architecture. Currently working as an SAP Architect at Deloitte, he supports the digital transformation of several clients. He also leads Deloitte UK's SAP Cloud Architecture and BTP capability. In his previous Head of SAP Technology role at Centrica, he was responsible for developing the technology strategy for the entire SAP landscape of the enterprise. He likes reading philosophy and keeps self-nurturing his curiosity to learn new things. He lives with his wife and two sons in Surrey, United Kingdom.

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Du

Du

Eric Du is a product and technology leader with broad experience in the enterprise space. As VP of Cloud Architecture at SAP SuccessFactors, he leads the architectural efforts for SuccessFactors' cloud transformation in defining the target architecture, migration solutions, and cloud optimizations. Prior to this role, he focused on SAP's cross-product strategy and co-led the North Star Architecture to shape the technology vision for SAP's Intelligent Enterprise Strategy. Based in Silicon Valley, Eric is passionate about innovations, he serves the role of advisor and investor in multiple start-up companies. He lives with his family in Dublin, California.

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