- SAP Managed Tags:
This blog post is describing the human resources line of business data of the SAP Sample Content package in SAP Datasphere.
Blog posts overview
For questions about the topic join the conversation in our SAP Community.
You can also check our SAP Community topic page for SAP Datasphere here.
Covered in this blog post
The sample data of the LoB Human Resources includes headcount relevant data of the sample company BestRun Bikes. The headcount view includes associations to the following dimensions: Manager, Divisions, Job, Job Classification, Location, Departments, Time.
Architecture
The following diagram displays the table structure in SAP Datasphere of the LoB HR.
To get an overview of the data model, the entity-relationship diagram delivers helpful insight into the modelling of the data. In the following you can see the relationship among the different tables and views.
SAP Datasphere enables you to do ETL transformations within the tool. To demonstrate this capability, the LoB scenario for HR makes use of a simple example. As the source data is not yet in the right format, a Data Flow is used to join different employee related data add calculated columns to the result.
The Data Flow for the LoB HR joins the employee related data with the “Join” operator and includes a script in Python to calculate the entry and exit year of employees.
Python Script
# convert the Date to datetime
data[‘DATE’] = pd.to_datetime(data[‘DATE’])
# add a column for Year
data[‘HIREYEAR’] = data[‘DATE’].dt.year
# convert the Exit Date to datetime
data[‘EXITDATE’] = pd.to_datetime(data[‘EXITDATE’])
# add a column for Year
data[‘EXITYEAR’] = data[‘EXITYEAR’].dt.year
return data
Overview of all business objects and its types
The following table lists all data objects of the HR sample data sorted by Business Name.
| Business Name | Technical Name | Type |
| Data Flow for HR | SAP_SC_HR_DF | Data Flow |
| Department Texts | SAP_SC_HR_T_DepartmentTexts | Local Table (Dimension) |
| Departments | SAP_SC_HR_T_Departments | Local Table (Dimension) |
| Departments Dimension (View) | SAP_SC_HR_V_Departments | View (Dimension) |
| Departments Texts (SQL Text View) | SAP_SC_HR_SQL_DepartmentsTexts | View (Text) |
| Division Texts | SAP_SC_HR_T_DivisionTexts | Local Table (Dimension) |
| Divisions | SAP_SC_HR_T_Divisions | Local Table (Dimension) |
| Divisions Dimension (View) | SAP_SC_HR_V_Divisions | View (Dimension) |
| Divisions Texts (SQL Text View) | SAP_SC_HR_SQL_DivisionsTexts | View (Text) |
| Employee Headcount | SAP_SC_HR_T_EmployeeHeadcount | Local Table (Analytical Dataset) |
| Employee Performance | SAP_SC_HR_T_EmpPerformance | Local Table (Relational Dataset) |
| Employee Personal Data | SAP_SC_HR_T_EmpPersonalData | Local Table (Relational Dataset) |
| Employee Position | SAP_SC_HR_T_EmployeePosition | Local Table (Relational Dataset) |
| HR ER Model | SAP_SC_HR_ERM | E/R Model |
| HR Manager | SAP_SC_HR_T_Manager | Local Table (Dimension) |
| Headcount (Data Flow Table) | SAP_SC_HR_DF_EmpHeadcount | Local Table (Analytical Dataset) |
| Headcount (View) | SAP_SC_HR_AM_EmpHeadcount | AnalyticModel |
| Job | SAP_SC_HR_T_Job | Local Table (Dimension) |
| Job Classificatioins Texts (Text View) | SAP_SC_HR_V_JobClassTexts | View (Text) |
| Job Classification | SAP_SC_HR_T_JobClassification | Local Table (Dimension) |
| Job Classification Dimension (View) | SAP_SC_HR_V_JobClass | View (Dimension) |
| Job Classification Texts | SAP_SC_HR_T_JobClassTexts | Local Table (Dimension) |
| Job Dimension (View) | SAP_SC_HR_V_Job | View (Dimension) |
| Job Texts | SAP_SC_HR_T_JobTexts | Local Table (Dimension) |
| Job Texts (Text View) | SAP_SC_HR_V_JobTexts | View (Text) |
| Location | SAP_SC_HR_T_Location | Local Table (Dimension) |
| Location Dimension (View) | SAP_SC_HR_V_Location | View (Dimension) |
| Location Hierarchy | SAP_SC_HR_T_LocationHierarchy | Local Table (Dimension) |
| Location Hierarchy (View) | SAP_SC_HR_V_LocationHierarchy | View (Hierarchy) |
| Location Texts | SAP_SC_HR_T_LocationTexts | Local Table (Dimension) |
| Location Texts (SQL Text View) | SAP_SC_HR_SQL_LocationTexts | View (Text) |
| Manager Dimension (SQL View) | SAP_SC_HR_SQL_Manager | View (Dimension) |
Summary
The SAP Sample Content for Finance, Human Resources and Sales is a great way to get started in SAP Datasphere data modelling. It helps you to easily understand the features of SAP Datasphere by following a simple approach. You can quickly onboard yourself by importing the content package to your Space in SAP Datasphere. The underlying ER-model helps to understand and easily deploy the different entities included in this content package. In a final step you upload the sample data into the tables to prepare your model for data consumption.
In this blog post you learned the detailed background information about the LoB HR data. This scenario consists of different tables and views, whereas the ER-model serves as central entry point to the data model. The simple Data Flow presents ETL functionalities within SAP Datasphere. Finally, all related entities used in this scenario are listed in the above table.
As illustrated, this sample content enables users to speed up the onboarding process and I hope you have a good start on your data modelling journey in SAP Datasphere. Feel free to share your thoughts and feedback in the comment section.
For questions about the topic join the conversation in our SAP Community.
You can also check our SAP Community topic page for SAP Datasphere here.
1 Comment
