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

SAC smart features

SAC offers a set of smart features such as Smart Insights and Smart Predict, mainly for citizen data scientists and business users. We introduced the details of these capabilities in the last chapter, so here, we will briefly discuss what was not covered previously – the lifecycle and differences of predictive models, from data preparation to the operation of the models.

SAC supports two types of models – based on datasets or planning-enabled models. Datasets whether acquired or through live connection can be used as data sources to create any supported predictive scenarios. Planning-enabled models can be used for time series forecasting models.

SAC provides a simple way to create predictive models – underneath SAC, the predictive engine uses similar capabilities to the APL in SAP HANA. SAC doesn’t offer the ability to parameterize the underlying algorithms on purpose to keep it simple.

To evaluate the quality of predictive models...