opensap big1 week 5 unit 4 exercise datasegmentationpart1
DESCRIPTION
OpenSAP Big1 Week 5 Unit 4 Exercise DataSegmentationPart1TRANSCRIPT
openSAP
June 2015
English
Week 5 Unit 4: Data Segmentation (Part 1)
SAP SE Dietmar-Hopp-Allee 16 69190 Walldorf Germany
Exercise User Guide
openSAP Week 5 Unit 4: Data Segmentation (Part 1)
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Copyright
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Icons
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Example
Note
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Syntax
Typographic Conventions
Type Style Description
Example text Words or characters that appear on the screen. These include field names, screen titles, pushbuttons as well as menu names, paths, and options.
Cross-references to other documentation.
Example text Emphasized words or phrases in body text, titles of graphics and tables.
EXAMPLE TEXT Names of elements in the system. These include report names, program names, transaction codes, table names, and individual key words of a programming language, when surrounded by body text, for example, SELECT and INCLUDE.
Example text Screen output. This includes file and directory names and their paths, messages, source code, names of variables and parameters as well as names of installation, upgrade, and database tools.
EXAMPLE TEXT Keys on the keyboard, for example, function keys (such as F2) or the
ENTER key.
Example text Exact user entry. These are words or characters that you enter in the system exactly as they appear in the documentation.
<Example text> Variable user entry. Pointed brackets indicate that you replace these words and characters with appropriate entries.
openSAP Week 5 Unit 4: Data Segmentation (Part 1)
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Contents
Week 5 Unit 3: Data Segmentation (Part 1) .............................................................................. 5
1 Purpose .............................................................................................................................. 5
2 Preparation ......................................................................................................................... 5
2.1 Prerequisites ............................................................................................................ 5
2.2 Links and system access information ...................................................................... 6
3 Exercise Steps – Data Segmentation (Part 1) ................................................................... 7
3.1 Load, model and analyze data using SAP Audience Discovery & Targeting (ADT) 7
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Week 5 Unit 4: Data Segmentation (Part 1)
1 Purpose The purpose of this document is to guide the participants of the “Driving Business Results with Big Data” openSAP course through the system exercise. This user guide is designed to be used together with the openSAP instructional videos. Do NOT attempt to execute exercise without watching the videos first.
2 Preparation
2.1 Prerequisites The prerequisites to this exercise are that the course participants have valid Amazon Web Services (AWS) and SAP Cloud Appliance Library (CAL) accounts.
In case you do not have yet a valid account AWS or SAP CAL, you will find all steps needed for that on this page.
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2.2 Links and system access information
All the log on and system information listed here is applicable to each participants’ own SAP CAL instance. The links are to be used on the Remote Desktop. These links will work only if you have your SAP CAL Instance activated.
For the Front-end Remote Desktop Connection use the IP address generated for the “Predictive Analytics RDS Frontend Internal IP Address” within your individual instance.
User Id: sidadm
Password: L2nuxlab
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During this exercise you need to access SAP HANA Studio from the Remote Desktop:
Right-mouse click on the line highlighted in the image and select Logon.
User Id: SAPNWABAHDB
Password: Same as the master user when CAL instance created
3 Exercise Steps – Data Segmentation (Part 1) Exercise Description
Load a spreadsheet containing customer, order history and product data into HANA database
HANA modeling by creating as an attribute view
Consume the attribute view in Audience Discovery and Targeting
This screens seen in this guide might be slightly different from those visible in the course videos and the actual training system.
3.1 Load, model and analyze data using SAP Audience Discovery & Targeting (ADT)
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Explanation Screenshot
1. From the Quick Launch tab click on “Select System” and select the HANA system that has been just added From the Quick Launch tab -> click on Import
2. Select Data from Local File and click Next
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Explanation Screenshot
3. Select the file “customer_product_data.xlsx” from the folder C:\Users\SIDadm\Desktop\yMKT on the remote desktop
4. Select the worksheet “Customers”
5. Check “Header row exists” 6. Check “Import all data” 7. Select schema
“SAPNWABAHDB” 8. Type table name
“ZCEICUSTOMERS” 9. Click Next
10. Under Target Table mapping, select the first row i.e. CUSTOMER_ID change the data type to “NVARCHAR” and length to 10
11. Check the “Key” column to make it the primary key of this table
12. Click Next to see the preview of the data
13. Click Finish
14. Import job will be running for few seconds and it will be completed with success
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Explanation Screenshot
1. Select the file “customer_product_data.xlsx” from the folder C:\Users\SIDadm\Desktop\yMKT on the remote desktop
2. Select the worksheet “OrderHistory”
3. Check “Header row exists” 4. Check “Import all data” 5. Select schema
“SAPNWABAHDB” 6. Type table name
“ZCEIORDHIST” 7. Click Next
8. Under Target Table mapping, select the first row i.e. CUSTOMER_ID change the data type to “NVARCHAR” and length to 10. Do the same with PRODUCT_ID
9. Check the “Key” column for CUSTOMER_ID and PRODUCT_ID rows so they will be the primary key for this table
10. Click Next to see the preview of the data
11. Click Finish 12. Import job will be running for
few seconds and it will be completed with success
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Explanation Screenshot
13. Select the file “customer_product_data.xlsx” from the folder C:\Users\SIDadm\Desktop\yMKT on the remote desktop
14. Select the worksheet “Products”
15. Check “Header row exists” 16. Check “Import all data” 17. Select schema
“SAPNWABAHDB” 18. Type table name
“ZCEIPRODUCTS” 19. Click Next
20. Under Target Table mapping, select the first row i.e. PRODUCT_ID change the data type to “NVARCHAR” and length to 10
21. Check the “Key” column for PRODUCT_ID row to make it the primary key of this table
22. Click Next to see the preview of the data
23. Click Finish 24. Import job will be running for
few seconds and it will be completed with success
You have successfully imported all the required data into the HANA system
25. In HANA studio, right click content from the navigator on the left side
26. Select Newpackage
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Explanation Screenshot
27. Name the package as “zceidemo” and description will get auto populated click “OK”
28. Right click on the newly created package select New Attribute View
29. Name the attribute view as “ZCEIDEMOVIEW” and Description will automatically be filled Click Finish
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Explanation Screenshot
30. Move the cursor to the data foundation area and a “+” sign appears Click on the “+” sign to add the tables that were created to the attribute view
31. Type “ZCEI” and hit enter to only get the tables that follow this format of naming
32. Select all the three tables(by holding the CTRL key) and click “OK”
33. To join the tables, drag “CUSTOMER_ID” from the ZCEICUSTOMERS table to ZCEIORDHIST table
34. Similarly, join the ZCEIORDHIST and ZCEIPRODUCTS tables via “PRODUCT_NO”
35. Change the relationship of “CUSTOMER_ID” join to Left Outer join, as some customers may not have orders but need to be included in the result set
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Explanation Screenshot
36. Select all the fields(by holding the CTRL key) right click click “Add to Output”
37. Do the same for the remaining tables
38. Click on Semantics
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Explanation Screenshot
39. Select the “CUSTOMER_ID” column and change Type to “Key Attribute”
40. Now the CUSOMER_ID becomes the key attribute
41. Click Save and validate the HANA view that you have just created Select your package “zceidemo” from the navigator pane right click click Activate
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Explanation Screenshot
42. In case there is more content than “zceidemo” package in the Selected box, use Remove button in the middle to remove unnecessary object activation
43. Activate to deploy the active version of your newly created package to HANA system
44. After successful deployment, right click on the attribute view that you just created select “Data Preview” to view the data
45. For example: drag COUNTRY to Labels axis and QTY to Values axis to visualize the data in a chart Now you have successfully completed the HANA modeling. Next some configuration has to be done in order to make it visible in Audience Discovery and Targeting(ADT)
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