This lesson provides an overview of SAP Business Data Cloud's architecture.
Exploring the Architecture of SAP Business Data Cloud
Objective
After completing this lesson, you will be able to illustrate the architecture of SAP Business Data Cloud.
Introduction
Architecture of SAP Business Data Cloud
As illustrated in the graphic, the SAP Business Data Cloud system landscape consists of different interconnected components. Each component plays an important role in SAP Business Data Cloud, with specific tasks that are outlined in the following sections.
Foundation Services
Data from your SAP source applications is replicated to the Foundation Services of SAP Business Data Cloud. This data is then harmonized with other relevant business data from other applications. It is then transformed and enriched to become a data product.
SAP Datasphere
At the heart of SAP Business Data Cloud is SAP Datasphere, which provides the foundational models on top of the data products. The models are provided by SAP to support the predelivered Intelligent Applications but custom data models can be added. SAP Datasphere also serves as a central tool for managing analytical roles and data access control, helping you to determine which business users can view specific data.
SAP Databricks
SAP Databricks is used to enrich your SAP data using AI and machine learning. SAP Databricks provides data scientists with a comprehensive set of tools for data engineering projects. SAP Databricks is the embedded version of Enterprise Databricks and has been specially developed through the partnership with SAP and Databricks to bring data science tooling to SAP BDC customers who do not already run, or plan to run, the Enterprise version of Databricks.
SAP BW, private cloud edition
Customers who run SAP BW can include it in the landscape of SAP BDC. The approach means that customers can onboard their BW data into SAP Business Data Cloud, allowing it to be used to generate data products.
SAP Analytics Cloud
SAP Analytics Cloud stories are used to provide the required dashboard in out-of-the-box reporting scenarios with SAP Business Data Cloud Intelligent Applications. With its advanced visualization and planning functions, SAP Analytics Cloud serves the business user as a central tool for exploring the requested business insights or executing planning functions. Furthermore, using SAP Analytics Cloud, business users can run ad-hoc analysis, explore the provided data with AI-driven chat capabilities, or act on their insights with AI-driven suggestions, bridging the gap between analytics and their end-to-end business processes.
SAP Business Data Cloud Cockpit
The SAP Business Data Cloud cockpit has an important role in the overall SAP Business Data Cloud landscape. With this tool you can browse and find predelivered Intelligent Applications and data products, install Intelligent Applications, and share data products with SAP Databricks to be able to extend them with AI, and machine learning capabilities.
Let's Summarize What You've Learned
In this lesson, you explored the overall architecture of SAP Business Data Cloud.
Foundation Services capture the data from the SAP source systems and make it available for consumption.
SAP Datasphere provides the data modeling capabilities on top of the data products.
SAP Databricks provides the AI and machine learning on top of data products.
SAP BW can be included in SAP Business Data Cloud so that you can use the data in modern, intelligent applications.
SAP Analytics Cloud provides the dashboarding capabilities to SAP Business Data Cloud using Stories.
SAP Business Data Cloud cockpit is used to configure the landscape and to install content from SAP.