Sap Datasphere: Beginner-Friendly With Hands-On Scenarios

Master SAP Datasphere: A Beginner-Friendly Guide with Hands-On Scenarios

What you'll learn

Understand the core concepts and architecture of SAP Datasphere

Learn to create and manage objects like Spaces, Models, and Connections.

Discover techniques for modeling and analyzing data effectively in Datasphere.

Gain hands-on experience with the Datasphere interface and workflows.

Learn step-by-step navigation to create and configure Datasphere objects

Understand where to find and use essential options in the Datasphere interface.

Requirements

Basic understanding, No Advanced Technical Skills Required: Beginners can start without deep technical expertise—step-by-step guidance is provided.f Table, views

Access to a Computer with Internet: To follow along with practical demonstrations, learners should have a system with internet access.

Interest in Data Modeling and Analytics: A willingness to learn about data integration and modeling is key.

Basic Understanding of SAP Systems: Familiarity with SAP BW, HANA, or SAC is helpful but not mandatory.

Description

Let Me give you a brief introduction on what can you expect in this Course.1. Getting AccessIn this course i will show you step by step process on how to get access to Dataspher & SAC by activating these services from SAP BTP. So, you can have full access to all areas including Security & Administration.We will start from completely scratch in Datasphere tenant. By creating Space and assigning that to roles and Complete information about what is space in Datasphere and how to assign users to space and how to get Data builder & Business builder etc features.2. SAP DatasphereThis section covers the main modeling exercises where you prepare tables, views and an analytic model to build the foundation for the stories in SAP Analytics Cloud.In the first exercise Get to know your own Space you learn more about the concept of Spaces and the Time Dimension required for your modeling in later parts of the exercise.You can manually create the tables and the entity relationship model, or directly generate the tables and ER model by using the importing the tables provided with the CSN file called Sales_ER_Model.json.Then you populate the tables with data by uploading data files using the CSV files from the resources. Based on these tables you then create a dimension view as well as a fact view and an analytic model.3. SAP Analytics CloudIn this part you will create simple stories in SAP Analytics Cloud to learn how to visualize your data based on a live connection to SAP Datasphere. The first story shows the Top 10 Revenue Generating Products and the second the Revenue by Geography. leverage Just Ask with SAP Analytics Cloud to Identify Top Sales Managers with Just Ask.4. SAP Datasphere: Data Access Controlenable row-level security with Data Access Controls by Creating Row-Level Permissions based on External Hierarchy5 Othersexplore more features of the Analytic Modeland learn about Transformation Flows by Creating a Transformation Flow and the usage of delta tables

Overview

Section 1: SAP Datasphere: Beginner Friendly with Hands on business scenario

Lecture 1 Introduction: Get your access to Datasphere & SAC through BTP

Lecture 2 Datasphere: Space Management Part 1

Lecture 3 Datasphere: Space Management Part 2

Lecture 4 Business Scenario & Sample data set & Table creation in Datasphere Part1

Lecture 5 Datasphere: Table creation & Uploading data Part2

Lecture 6 Datasphere: Creation of Entity Relationship Model

Lecture 7 Datasphere: Creating Graphical View of type Dimension

Lecture 8 Data Sphere: Graphical view of type Fact & Analytical Model

Lecture 9 Creating live Connection in SAC to Datasphere

Lecture 10 Product Switch

Lecture 11 Creating a Story in SAC by Consuming Analytical Model created in Datasphere

Lecture 12 SAC story to visualize the measures on a Geographic Map

Lecture 13 SAC reports By using Just Ask feature

Lecture 14 Datasphere: Data Access Control with a business scenario

Lecture 15 Datasphere: Exploring Analytical Model

Lecture 16 Datasphere: Views Data Persistance & Data Integration Monitor

Lecture 17 Datasphere: SQL views & Input Parameters

Lecture 18 Datasphere: Transformation Flow

Lecture 19 Datasphere: Business Content

Lecture 20 Datasphere: Business Conntent2 & Data Market Place

Lecture 21 Datasphere: Data Market Place & Data sharing cockpit

Lecture 22 Datasphere: Security (Users, Roles, Authorization Overview, Activities)

Beginners: Individuals new to SAP Datasphere who want a foundational understanding of the platform and its features.,SAP BW Professionals: SAP BW or BW on HANA consultants looking to explore Datasphere and transition into this emerging technology.,HANA and SAC Users: Professionals familiar with HANA or SAP Analytics Cloud who want to understand the basics of Datasphere and its objects.,Data Enthusiasts: Anyone curious about SAP’s modern data warehousing and integration tool, seeking practical insights into its interface and object creation.