Book Image

Architecting Solutions with SAP Business Technology Platform

By : Serdar Simsekler, Eric Du
Book Image

Architecting Solutions with SAP Business Technology Platform

By: Serdar Simsekler, Eric Du

Overview of this book

SAP BTP is the foundation of SAP’s intelligent and sustainable enterprise vision for its customers. It’s efficient, agile, and an enabler of innovation. It’s technically robust, yet its superpower is its business centricity. If you’re involved in building IT and business strategies, it’s essential to familiarize yourself with SAP BTP to see the big picture for digitalization with SAP solutions. Similarly, if you have design responsibilities for enterprise solutions, learning SAP BTP is crucial to produce effective and complete architecture designs. This book teaches you about SAP BTP in five parts. First, you’ll see how SAP BTP is positioned in the intelligent enterprise. In the second part, you’ll learn the foundational elements of SAP BTP and find out how it operates. The next part covers integration architecture guidelines, integration strategy considerations, and integration styles with SAP’s integration technologies. Later, you’ll learn how to use application development capabilities to extend enterprise solutions for innovation and agility. This part also includes digital experience and process automation capabilities. The last part covers how SAP BTP can facilitate data-to-value use cases to produce actionable business insights. By the end of this SAP book, you’ll be able to architect solutions using SAP BTP to deliver high business value.
Table of Contents (22 chapters)
1
Part 1 Introduction – What is SAP Business Technology Platform?
4
Part 2 Foundations
8
Part 3 Integration
12
Part 4 Extensibility
16
Part 5 Data to Value

Why do we need data integration?

We have highlighted many times how today’s world necessitates enterprises to be intelligent. This intelligence can only be established on the foundation of quality data that is managed systematically. Hybrid and heterogeneous information technology (IT) landscapes expose the usual challenge here because businesses need to bring together data from disparate sources in order to produce actionable insights.

Distributed data across several systems is one side of the story. With the recent advancements in the IT world, innovative businesses have a great appetite to exploit data that is sophisticated in many dimensions. In data science, these are formulated as the 5 V’s of big data: Volume, Variety, Velocity, Veracity, and Value, as represented in the following diagram:

Figure 8.1: The 5 V’s of big data

Figure 8.1 illustrates the 5 V’s of big data and provides brief examples. Although these dimensions...