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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

SAP Data Warehouse Cloud (DWC)

Before we introduce what SAP DWC is, first, let’s understand the differences between a data lake and a data warehouse.

A data lake is a data repository that holds a large amount of raw data in its natural format, often coming from disparate sources, including a mix of structured, semi-structured (CSV, XML, and JSON), and unstructured data formats. It offers an effective solution for collecting and storing large amounts of data but doesn’t necessarily need to process it until it is required for use.

In contrast, data warehousing has a more focused use case that is optimized to store and transform large amounts of data for advanced queries and analytics in a more structured relational database. It has two key functions: it acts as a federated repository of business data, and then as the query execution and processing engine of the data. The goal of a modern data warehouse...

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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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