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within your project create a flowgraph model for t

Within your project, create a flowgraph model for the product data, and load the data. perform the same steps as you did for the customer data.

SAP HANA Data Modeling Case Study

Business Scenario

The company Global Bike Inc. (GBI) has acquired a new data warehouse solution based on the in-memory database SAP HANA and the corresponding SAP HANA Platform. The CIO has decided to use this solution for the sales department, as this department has to analyze huge amounts of data on a regular base. To evaluate the data modeling and reporting capabilities of the solution, a first prototype is set up using basic sales data.

You are in the role of a consultant who is specialized on data warehouse solutions. Your task is to setup this prototype. You will use SAP HANA to create a suitable data model. Furthermore you will use the Smart Data Integration Tool to populate the data model with data.

Sales transaction data

As indicated in the business scenario, you need to create three tables, one for sales transaction data, one for the customer master data, and one table for product master data.

Remark: You create all database tables in the database schema GBI_XXX, whereas XXX stand for your individual ID. The namespace and your individual ID will be provided by the instructor.

Logon to the SAP HANA Studio

Create a database table for the customer master data

Add following columns to the table:

Name Key Data type Length (Dim)
CUSTOMER_NUMBER X VARCHAR 10
CUSTOMER_NAME VARCHAR 20
CITY VARCHAR 35
VALID_TO X DATE
VALID_FROM DATE
SALES_ORGANIZATION VARCHAR 4
COUNTRY VARCHAR 2

Create the table using the Execute button.

Create a database table for the product master data

Create the table using the Execute button.

Create a database table for the sales transaction data

Use following details to create the table:

Name Key Data type Length (Dim)
YEAR INTEGER
MONTH INTEGER
DAY INTEGER
CUSTOMER_NUMBER VARCHAR 10
ORDER_NUMBER X VARCHAR 10
ORDER_ITEM X VARCHAR 3
PRODUCT VARCHAR 8
SALES_QUANTITY INTEGER
UNIT_OF_MEASURE VARCHAR 3
REVENUE DECIMAL 17,2
CURRENCY VARCHAR 3
DISCOUNT DECIMAL 17,2


You populate the database tables, using the Smart Data Integration Tool. For each table you create a data flow that extracts data from a flat file and that transfers this data into your database table.

  1. Open the Modeler perspective in the SAP HANA Studio

  2. Add a new Remote Source to the SAP HANA System

Hint: You can create Remote Sources in the Navigator View within the Provisioning tab.

Use following details to create the Remote Source:

Source name: RemoteSource_XXX
Adapter Name: FileAdapter
Source Location: agent(dpagent)
Root Directory: /GBI_dataset
Directory Fileformat Def.: /GBI_dataset
Credentials Mode: Technical User
Access Token: gbi

Add virtual Data Tables to the SAP HANA System

Schema: GBI_XXX

Enter following details to import the product table:

Schema: GBI_XXX

Create a new Repository Workspace for the SAP HANA System

Hint: You can create a new Repository Workspace within the SAP HANA Development view.

Create a new Repository Package within your repository

Repository Workspace: Workspace_XXX
Package Name: Package_ XXX

Within your Repository Package, create a new Flowgraph Model

Hint: You have to open the initially empty Flowgraph Model in order to change its properties.

Within the Flowgraph Model, establish a data connection between the Virtual Table and the Data Table.

Within your Flowgraph Model, establish a data connection between the Virtual Table VT_RemoteSource_XXX_Customer.csv and the Data Table Customer_Attr_001 by defining the virtual Table as Data Source and the Data Table as Data Sink.

Execute the Flowgraph Model to load the Customer Data

Open your Flowgraph Model within the SQL editor and remove the leading dot from the Package name. Then, run the SQL command.

Check the successful execution by viewing the content of the table CUSTOMER_ATTR_XXX.

Within your project, create a Flowgraph Model for the product data, and load the data. Perform the same steps as you did for the customer data.

Within your project, create a Flowgraph Model for the sales data, and load the data. Perform the same steps as you did for the customer data.

Flowgraph Model name: SalesFlow
Source: VT_Salesdata_XXX.csv
Target: SALES_ATTR_XXX

To merge this data, you have to create an Attribute View. This Attribute View joins the Customer attributes table with the text tables for country and sales organization, using a text join.

  1. Open the Modeler perspective in the SAP HANA Studio

  2. Create a new package to group the views that you will create in the following steps

Description: Package Student XXX

Original Language: English

In your package, create an Attribute View for the customer data

View description: Customer XXX

Tables: XX_STUDENT_XXX.CUSTOMER_ATTR_XXX,
GBI_DEMO.GBI_DEMO_COUNTRY, GBI_DEMO.GBI_DEMO_SALESORG.

Join the table GBI_DEMO_COUNTRY with table CUSTOMER_ATTR_XXX using a text join

Join the table GBI_DEMO_SALESORG with table CUSTOMER_ATTR_XXX using a text join

The view should show only current customers. For current customers, the valid-to date is equal to 9999-12-31. Add a corresponding filter to your view.

Hint: Select the VALID_TO field in the customer table and apply the filter. Please be careful that you enter the filter value in the right format (9999-12-31).

Add all attributes that should be visible in this view to the output structure

Hint: The output structure is visible on the right hand side.

Table Field Key attribute
CUSTOMER_ATTR_XXX CUSTOMER_NUMBER X
CUSTOMER_ATTR_XXX CUSTOMER_NAME
CUSTOMER_ATTR_XXX CITY
CUSTOMER_ATTR_XXX SALES_ORGANIZATION
CUSTOMER_ATTR_XXX COUNTRY

Perform the description mapping for the fields COUNTRY and SALES_ORGANISATION in the properties of the output structure

Save, validate and activate the Attribute View

You will create an Attribute View that includes product data.

The Attribute View should show all product attributes except the price.

Create a new Attribute View for the product data in your package

Tables: PRODUCT_ATTR_XXX

Add all relevant attributes to the output structure of the Attribute View

Table Field Key attribute
PRODUCT_ATTR_XXX PRODUCT X
PRODUCT_ATTR_XXX PRODUCT_NAME
PRODUCT_ATTR_XXX PRODUCT_CATEGORY
PRODUCT_ATTR_XXX DIVISION
PRODUCT_ATTR_XXX COLOR
PRODUCT_ATTR_XXX PRODUCT_GROUP
PRODUCT_ATTR_XXX INTERNAL_PRICE

Save, validate and activate your Attribute View

You want to analyze the sales data by customer and product.

Create a new Analytic View for the sales data in your package

View name: SALES_AV_XXX

View description: Sales XXX

Table Field Type
SALES_XXX YEAR attribute
SALES_XXX MONTH attribute
SALES_XXX CUSTOMER_NUMBER attribute
SALES_XXX PRODUCT attribute
SALES_XXX UNIT_OF_MEASURE attribute
SALES_XXX CURRENCY attribute
SALES_XXX SALES_QUANTITY measure
SALES_XXX REVENUE measure
SALES_XXX DISCOUNT measure

Join the sales table with the product and customer view, using a referential join

Hint: To join tables, you have to switch to the Star Join component.

Join DataFoundation.PRODUCT with PRODUCT_ATV_XXX.PRODUCT.

Add the net sales price as calculated measure to the output structure of your view

Formula: Revenue – Discount.

Regarding the currency, enter following details:

  1. Save, validate and activate the Analytic View

  2. Open the data preview for your Analytic View and check the data

Open SAP Lumira and login with your Credentials

Select your Analytic View as basis for your analysis

Analyze the data provided by your Analytic View

What are the top 3 products by revenue sold in Germany in May 2011?

Hint: You have to define the Revenue as Measure variable.

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