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

Data-driven use cases

Data is the core element for applications serving diverse use cases from traditional analytics and machine learning (ML)/artificial intelligence (AI) to data-intensive applications that combine both analytical and transactional workloads. All these applications generate data, and almost all enterprises today rely on multiple applications to support their business processes and fight with data accumulated in silos from different applications in their information technology (IT) landscapes. Furthermore, modern applications use a much larger number of data stores—such as objects, documents, and graphs—compared to legacy applications mainly leveraging a relational store. A modern data architecture supported by various data integration and processing technologies will need to address these challenges and hide the aforementioned underlying complexity.

Let’s have a look at a concrete example based on an Intelligent Enterprise scenario to see...