1. MODELING IN SAP HANA
EIM260
Exercises / Solutions

2. 2
Initial Setup
During the exercises, you will work on a SAP HANA system with the following system properties:
 Host name: coe-he-083.wdf.sap.corp
 Instance number: 00
 SAP System ID (SID): ANC
 Database user name: EIM260_XX (XX = your assigned student ID)
 Password: Welcome1
 Database Schema EIM260
 Exercise package eim260.sessionX.eim260-XX.exercise1-3
 Solution package eim260.solution.exercise1-3
 Session X (X = your assigned session ID)
As preparatory steps, make sure a connection to the backend SAP HANA database system is defined with your
assigned user (EIM260_XX).
1. Start the SAP HANA studio from the
Windows Desktop
2. In order to add a new HANA system,
right-click on the background of the
white area in the “Navigator” view.
 Choose “Add System…” from the
context menu.

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3. Register a new System.
 Enter the Hostname, Instance
Number and Description.
Host: coe-he-083.wdf.sap.corp
Instance: 00
 Click > Next.
4. Enter your assigned user and
password credentials.
 Enter EIM260_XX where XX
represents your assigned number
Password: Welcome1
 Click > Finish.

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5. Become familiar with the modelling
environment.
 Ensure that the Modeler perspective
is open. (Window > Open
Perspective > Other > Modeler
 Modelling artefacts reside within the
Content folder and within package
eim260.
 The tables used in the exercises are
located in schema EIM260.
Note: The tables were replicated out
of an SAP ERP system using SLT
and are referred to as the EPM
Demo model. Data for the exercises
were generated through transaction
SEPM_DG (SAP BASIS 7.02+).
6. Within your assigned session package
create your own personal package
named “eim260-XX”
 Right-click on the assigned session
package folder
 Select “New” > “Package” from the
context menu
Remember: XX is your assigned student
number
7. Within the Package creation window
supply the following values:
Name: eim260.sessionX.eim260-XX
(where X = assigned session ID)
(where XX = assigned student ID)
 Click OK.

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8. Create one more package for the first
exercise (within the previously created
package):
 In the creation wizard enter:
Name: eim260.sessionX.eim260-
XX.exercise1
(where X = assigned session ID)
(where XX = assigned student ID)
 Click OK.
9. Ensure that your package structure
looks as follows.

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Exercise 1: Variables & Input Parameters
The exercise teaches students how variables can accelerate the joining of Sales data and Delivery data. Traditionally
unions have been used to combine different subject areas that have corresponding dimensions. Students will therefore
learn how to safely join Analytical Views that have different dimensions by using variables that will prompt the front end
tools to supply values. As a result the variables are pushed down into the Database exploiting the underlying features
of SAP HANA and will result in optimal performance.
This exercise will also teach students how to work with Input Parameters and how they similarly can be leveraged via
prompts from within font end tools such as Analysis for Office. As a result input parameters can be pushed down
directly into low level Database calculations.
1.1 Create the Customer Attribute View
1. Navigate and select your previously
created exercise1 package
 With the Right Mouse Button >
Select New > Attribute View
2. Enter the name of the Attribute View:
CUSTOMER_AT.
 Select Standard Attribute View
 Click Finish
(As a result the Attribute View editor will
appear)

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3. Manually add both the Business
Partners and Address table.
 Expand the Tables folder
underneath schema EIM260 and
drag and drop the 2 tables into the
Attribute View editor.
 Address Table (SNWD_AD)
 Business Partners (SNWD_BPA)
4. Create a Join (Referential) between the
2 tables.
 Re-arrange the tables so that the
Business Partner Table is located
on the left hand side.
5. Click and select the Address Guid field
from the Business Partner table and
drag/drop it to the Node Key field on the
Address Table. Referential Join should
be defaulted.
6. Set the Cardinality indicator between the
tables.
 Make sure to select the JOIN line
that links the 2 tables.
 At the bottom of the screen locate
the Properties View and Change the
Cardinality to (n..1).
 Note: The LEFT Business Partner
table is the MANY (n) table and
joins to the RIGHT (1) dimension
table.
7. Add the KEY Attribute to the Attribute
View.
 Select the key field NODE_KEY on
the Business Partner table > right
click on field. Choose Add as Key
Attribute.
 Result: The NODE_KEY:
(SNWD_BPA.NODE_KEY) appears
in the Output frame.

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8. Add the regular Attributes to the
Attribute View.
 Select COMPANY_NAME > Right
Click > Add as Attribute
 Select both CITY and COUNTRY
from the Address table > Right Click
> Add as Attribute.
9. Save and Activate.
 Towards the top right corner of the
Attribute editor click on the green
horizontal arrow.
 Within the Job Log view at the
bottom of the screen review the
Activation status and ensure
successful activation.
Note: Details regarding unsuccessful
Activations can be reviewed by double
clicking on the Activation message.
10. Preview the Attribute View.
 Click on the Data Preview Icon in
the title bar.
 As a result the Preview will show the
results as follows.

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1.2 Create the Sales Analytic View
1. Select package exercise1 > Right Click
> New > Analytic View
2. Enter SALES_AV for the name of the
Analytical View within the creation
wizard.
 You may leave the value for
“Schema for currency conversion”
unselected.
 Click > Next.
3. Find both tables (in schema EIM260),
SNWD_SO (Sales Orders) and
SNWD_SO_I (Sales Order Items) and
click Add.
 Click Next.

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4. On the next screen of the wizard select
the 2 Attribute Views located in different
packages:
 First expand the folder
(EIM260/sessionX/eim260-
XX/exercise1) and select the
attribute view CUSTOMER_AT.
 Then navigate to the
solution/exercise1 directory and
use the MATERIAL_AT Attribute
view which was created for you.
 Click on Finish.
 As a result the Analytical View editor
opens
5. Within the Data Foundation Tab create
a JOIN between the Order Items and
Order Header table.
 Ensure the Order Items table
(SNWD_SO_I) is positioned to the
left of the Order Header
(SNWD_SO) table.
 Create a Referential JOIN between
the Order Items table field
(PARENT_KEY) and the Order
Header table field (NODE_KEY)
 While selecting the JOIN line
between the 2 tables, change the
Cardinality to (n..1) - within the
Properties View at the bottom of the
Window.

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6. Next select and add the „private‟
attributes to be included in the Analytic
view
SNWD_SO_I.NODE_KEY
SNWD_SO_I.PARENT_KEY
SNWD_SO_I.PRODUCT_GUID
SNWD_SO.BUYER_GUID
SNWD_SO.CREATED_ON
 Right click on the fields > Add as
Attribute
7. Note: Due to a field name conflict the
NODE_KEY private attribute was
automatically renamed to
NODE_KEY_1.
 Select the NODE_KEY_1 Private
Attribute and rename the field to
ITEM_ID below within the Properties
View.
8. Proceed to rename PARENT_KEY to
ORDER_ID

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9. Within the Data Foundation tab add
Measures from the fact table
SNWD_SO_I.
 Select 3 measures > Right Click >
Add as Measure.
SNWD_SO_I.GROSS_AMOUNT
SNWD_SO_I.NET_AMOUNT
SNWD_SO_I.TAX_AMOUNT
10. Create a Calculated Measure to display
the total quantity of items ordered.
 Right click on the folder Calculated
Measures > New
11. Name the Calculated Measure >
ORDER_QTY
 Supply the following values:
Aggregation Type: SUM
Data Type: DECIMAL (13,2)
Expression:
"NET_AMOUNT"/"PRICE"
HINT: You can expand the Attribute
View MATERIAL_AT and select the
PRICE Attribute.

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12. Create a new Input Parameter (Country)
that will be used for dynamic gross
amount calculations depending on the
Country value supplied.
 On the Input Parameters folder >
Right Click > New
13. Supply the following values:
 Name: IP_COUNTRY
 Type: Attribute Value
 Attribute:
CUSTOMER_AT.COUNTRY
 Click OK.
Optional: Read only if you experience
the above error. Due to a bug in the
current version you may experience this
error when you click on OK. As a work
around you have 2 options
 Either delete and re-add the Input
Parameter
 Or change the Type drop down and
select to Currency > Then enter 1
into the Length field. Then change
the Type drop down list back to
Attribute Value. Then you should be
able to click OK.

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14. Create a new Calculated Measure that
will calculated the gross amount
depending on the specific Country Value
supplied:
 Calculated Measures > Right Click >
New
15. Within the Calculated Measure supply
the following values:
 Name: GROSS_AMOUNT_CM
 Aggregation Type: SUM
 Data Type: DECIMAL (13,2)
 Expression:
if(
"COUNTRY"=
'$$IP_COUNTRY$$',"GROSS_AMOUNT",0
)
 Note: The above expression will
only calculated the gross amounts
for the country value passed in via
the input parameter.
 Click OK.

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16. Next join the Dimensional Attribute
Views.
 Choose the Logical View
 Select the NODE_KEY field within
the CUSTOMER_AT Dimension and
drag a line to the BUYER_GUID
defined on the Data Foundation.
 Continue to join the Material
Attribute View Dimension. Select the
MATERIAL_NODE_KEY field within
the MATERIAL_AT Dimension and
drag a line to the PRODUCT_GUID
field defined on the Data
Foundation.
17. Save > Activate > Preview:
 When you Preview you will be
Prompted to supply a Country value
 Enter „US‟ in the From field
 Click OK
 Review the Preview output data.
GROSS_AMOUNT_CM is only
calculated for those Countries that
equal the Input Parameter Value.

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1.3 Create a Calculation View that combines Sales and Delivery Analytical Views
1. Create a new Calculation View within
package exercise1
2. Use the wizard and enter
SALES_DELIVERY_CV for the name of
the Graphical Calculation View.
 Leave the “Schema for conversion”
field unselected.
 Click Next.
3. In the second step of the Calculation
view wizard add 2 Analytical Views from
within 2 different packages:
 First expand your own package and
select your SALES_AV and add that
to the right hand side of the screen.
 Proceed to also include the
DELIVERY_AV Analytical View
located in the solution package that
was created for you.
 Click Finish

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4. As a result of the previous step the
Graphical Calculation View editor
opens.
 Create a Join between the
Deliveries and the Sales Analytical
View by dragging the Join Node
from the Tools Palette into the work
area.
5. Next, with the mouse hover over the
Delivery Analytical view until you see
the „Create connection‟ icon. Drag a line
to the Join node.
 Do the same for the Sales Analytical
view by dragging a line to the Join
node.
6. Click on the Join node and define the
Join KEY and attributes.
 To create the join drag a line
between both ITEM_IDs.

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7. Next select/add the required attributes >
Right Click on the field > Add to Output.
 Tip: Add all the fields except the
following fields in the list below.
SALES_AV.PRICE
SALES_AV.SUPPLIER_GUID
SALES_AV.MATERIAL_NODE_KEY
SALES_AV.NODE_KEY
row.count
DELIVERY_AV.DELIVERY_ID
8. Connect the Join node to the Output
node by dragging a connection line.
9. Next click on the Output node and
distinguish the fields either as attributes
or measures. Select the fields listed
below > right click > add as Measure
GROSS_AMOUNT
NET_AMOUNT
TAX_AMOUNT
ORDER_QTY
QUANTITY
GROSS_AMOUNT_CM
10. Proceed to add the rest of the fields as
regular Attributes.
ITEM_ID, CATEGORY, ORDER_ID,
PRODUCT_ID,COUNTRY,
COMPANY_NAME, CITY,
DELIVERY_DATE, CREATED_ON

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11. Rename the QUANTITY field to
DELIVER_QTY.
 Click on the measure Quantity.
Within the Properties view rename
the measure to DELIVER_QTY
12. Define one variable for each Analytical
view.
 Start with the Delivery Date field
from the Delivery Analytical View.
Note: This will allow the front end
tools to filter the data-set by the
delivery date.
 Within the Output node > Attributes
> right click on Delivery Date >
“Create Variable – Apply Filter”
13. The Variables pop-up window appear:
 Supply the values shown in the
image.
 You many leave the default Name,
Description and Attribute field as is.
 Change the Selection Type drop
down list to INTERVAL (This will
allow front end tool to specify both
to-and-from delivery dates)
 Click OK.

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14. Next proceed to create a second
Variable for the Sales Analytical view‟s
Created On field. Note: this filter will
allow front end tools to filter by the order
creation date.
 Remember to change the Selection
Type drop down list to INTERVAL
 Click OK.
 Save, Activate
1.6 Advanced Office Analysis
1. Open Advanced Office Analysis > from the
Windows Start Menu > SAP Business
Objects Analysis for Microsoft Excel
2. Click on Analysis.
3. Underneath the File menu click Insert and
select Data Source …..

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4. (Optional) Skip the SAP Business Objects
logon Window if being prompted to Login.
Instead you will connect directly to the
SAP HANA database via an ODBC
connection that is already setup.
 Note: See the Appendix for ODBC
configuration instructions.
5. Select the data source EIM260. (Refer to
the appendix for instructions how to setup
a ODBC Data Source to SAP HANA.)
6. Enter your assigned User ID (EIM260_XX)
and enter Welcome1 for the password.
7. Next select the Calculation View
SALES_DELIVERY_CV from within your
exercise1 package.
Tip: Click on the Search tab and enter
eim260-xx to list all your models
 Click OK.
8. When the Prompts window appear supply the following values:
 DELIVERY DATE (Variable): 20120101 20120501
 CREATED ON (Variable): 20120101 20120501
 COUNTRY (Input Parameter): US

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9. Drag the Category dimension and add it to the Rows area:
 Notice the Total Gross Amount for Flat screens across all countries, then notice the Gross Amount Calculated
Measure that represents the „US‟ input parameter that was entered.
 Note: To change any of the variables or input parameter click on the Prompts Icon in the Ribbon:

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Exercise 2: Current year previous year sales comparison
This exercise will teach students how to create dynamic models to compare current year sales versus previous year
sales by quarter. Student will learn how to create time based attribute views, work with expression logic and use
unions to combine sales figures.
2.1 Create a Time based Attribute view
1. Create a package called exercise2
2. Create a new Attribute View within the
package exercise2 called TIME_AT and
supply the parameters as shown in the
image.
 Select „Time‟ Attribute View type.
 Calendar Type: Gregorian
 Granularity: Date
 Check Auto Create.
 Click Finish.
3. Within the Attribute View editor review
the Attributes within the Output.
 As a result of checking „Auto Create‟
in the previous step the system
automatically added fields in the
Output structure. Remove all the
attributes and leave the following
list of Attributes
YEAR, QUARTER, MONTH
WEEK, DAY, DATE_SAP (Key)
 To remove an Attribute: Right click
on the Attribute > Remove
 Save, Activate & Preview.
4. Review the output.
 Notice the KEY field DATE_SAP; in
the next step it will be used to join
the Time Dimension to the
Analytical View.

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2.2 Create a copy of your Analytical View
1. Create a copy of the previously created
SALES_AV Analytical View from
exercise1.
 Select package exercise2 > right
click > New > Analytical View
 Select the „Copy From‟ radio button
and click on the „Browse‟ button to
select the Analytical View to copy.
 Expand the folders under eim260
and select your SALES_AV within
the exercise1 package.
 Click OK.
 Click Finish on the Next Screen.
2. As a result the Analytical View editor is
opened.
 On the Data Foundation Tab
Remove both the Gross Amount
Calculated Measure and then
IP_COUNTRY Input Parameter.
3. Within the Logical View add the
previously created TIME_AT Attribute
View as a dimension to the Analytical
View.
 Click on the Logical View tab.
 Expand package exercise2 and drag
and drop the TIME_AT Attribute view
into the Logical View work area.
 Create a JOIN from the TIME_AT
Dimension to the Data Foundation by
dragging a line from the DATE_SAP
field of the TIME_AT to the
CREATED_ON field in the Data
Foundation.
 Save, Activate, Preview.

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2.3 Create a Graphical Calculation View to combine the current year sales with previous year sales
1. Within the exercise2 package create a
new Graphical Calculation View named
PREVIOUS_CURRENT_YEAR_SALES_CV
2. As a result the Graphical Calculation
View Editor opens.
 Drag and drop the SALES_AV
Analytical View 2 times into the work
area.
 From the Tools Palette select 2
Projection Nodes and add them to
the work area as shown in the
image
 Next add a UNION node
 Connect all the nodes using a
connection line.
3. Important! Rename the Projection node
on the left to PREVIOUS, and rename
the Projection node on the right to
CURRENT.
 Hint. To enable the Projection node
name to be editable, click on the
Projection node once with the left
mouse button, and then once more
click with the left mouse button on
the name of the Projection node
using the left mouse button.

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4. Click on the PREVIOUS Projection
Node:
 Define the Projection Node fields,
select them > Right click > and add
to the Output
QUARTER, YEAR, CATEGORY,
NET_AMOUNT
5. Next add 3 different Calculated Columns
that will be used to determine if an order
was created the current year or the
previous year.
 Add a New Calculated Column to
the Output of the PREVIOUS
Projection Node.
 Right Click on the Calculated
Columns folder > New
6. As a result the Calculated Column
Editor Window Opens.
 Supply the following values for the
Calculated Column:
Name: CURRENT_YEAR_CC
Data Type: VARCHAR
Length: 4
Expression:
midstr(string(now()),1,4)
 Hint: You can either select the
midst() function underneath the
String Functions list or you can
manually type the expression
syntax.
Hint: The expression would return
2012
 When finished click Add.

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7. Next create another Calculated Column
named PREVIOUS_YEAR_CC
 Supply the following values for the
Calculated Column:
Data Type: VARCHAR
Length: 4
Expression:
string(double(“CURRENT_YEAR_CC”)-1)
Note: The expression subtracts 1
from the current year calculated
columns. Therefore the expression
would return 2011.
 Click Add.
8. Next Define the last Calculated Column
named YEAR_FILTER:
 Supply the following values for the
Calculated Column:
Data Type: INTEGER
Expression:
if("CURRENT_YEAR_CC"="YEAR",1,
if("PREVIOUS_YEAR_CC"="YEAR",2,-1),-1)
Note: Both the current year value
and the previous year value will be
compared to the YEAR field from
the TIME_AT Attribute View. Current
year sales will be flagged as 1 and
previous year sales will be flagged
as 2. Therefore in the next step you
can filter by 1 and 2 in order to filter
the data for this year and last year.
 Click Add.

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9. Continue to work the PREVIOUS
Projection Node
 Define a filter for YEAR_FILTER
Calculated Column.
 Right Click on YEAR_FILTER >
Apply Filter
10. As a result the Apply Filter Window
appears.
 Select the Equal Operator
 Enter the value 2
 Click Ok.
Note: The number 2 represents the
previous year‟s sales.
11. Click on the CURRENT Projection node
 Add YEAR, CATEGORY,
QUARTER and NET_AMOUNT as
output columns.
 Define exactly the same calculated
columns as you did on the
PREVIOUS projection node.
CURRENT_YEAR_CC
PREVIOUS_YEAR_CC
YEAR_FILTER
 Apply a filter on the YEAR_FILTER
Calculated Column and set the
Equal Operator to 1 to filter the
current year sales.

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12. Click on the Union Node.
 Drag the YEAR field from the
PREVIOUS source node into the
Target area.
 Next drag the YEAR field from the
Current source node and drop that
un-top of the target YEAR field.
13. Next proceed to do the same by adding
and mapping the QUARTER and
CATEGORY fields.
 Drag the NET_AMOUNT from the
Previous source field into the target
and rename the field to
PREVIOUS_NET_AMOUNT
14. Next drag the NET_AMOUNT field into
the Target area and rename the field to
CURRENTE_NET_AMOUNT.
Note: Both the PREVIOUS and
CURRENT Net Amounts are separate
fields that map to each individuals
Source node.

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15. Click on the Output node.
 Define CATEGORY and QUARTER
as Attributes
 Define PREVIOUS_NET_AMOUNT
and CURRENT_NET_AMOUNT as
Measures.
 Save, Activate & Preview
16. Click on the Info button to access the
generated SQL statement.
17. Copy the SQL statement.
18. Open the SQL Editor.
 Select the Connection > Click on the
SQL Icon.

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19. Paste (CTRL+V) the SQL statement into the SQL Editor. Delete all references of CATEGORY from both the field
selection and the GROUP BY. Move QUARTER to the first field. Then execute the statement or press F8. As a
result you will see the net amount per quarter for both the current year and previous year.
Note: Replace X with your assigned numbers.
SELECT
"QUARTER",
sum("PREVIOUS_NET_AMOUNT") AS "PREVIOUS_NET_AMOUNT",
sum("CURRENT_NET_AMOUNT") AS "CURRENT_NET_AMOUNT"
FROM "_SYS_BIC"."eim260.sessionX.eim260-XX.exercise2/PREVIOUS_CURRENT_YEAR_SALES_CV"
GROUP BY "QUARTER"

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Exercise 3: Master data reporting
This exercise will teach students how to create non OLAP models and build a report showing the number of business
partners versus customers. Students will model directly against raw column tables; learn how to use exceptional
aggregation including how to create custom counters.
3.1 Create a Calculation View
1. Create a package called exercise3
2. Create a new Graphical Calculation
View named
BUSINESS_PARTNER_CV
 Select the Address Table
(SNWD_AD) and the Business
Partners (SNWD_BPA) table to be
used within the Calculation View.
 Click Finish.
3. Within the Graphical Calculation View
editor add a JOIN node and a Projection
node to the work area.
 Connect all the nodes using a
connection line as shown in the
image.

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4. Click on the JOIN node
 Join the Business Partner table to
the Address table using the Address
Guid field from the SNWD_BPA
table and the NODE_KEY field from
the SNWD_AD table.
 Drag a line between these fields
mentioned to indicate the JOIN
fields.
5. Proceed to add the following additional
fields to the Output of the JOIN
SNWD_BPA.BP_ROLE
SNWD_BPA.COMPANY_NAME
SNWD_AD.CITY
SNWD_AD.POSTAL_CODE
SNWD_AD.STREET
SNWD_AD.COUNTRY
6. Click on the Projection Node and add all
the fields to the Output
 Right click on the field > Add to
Output

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7. Within the Projection node create a new
Calculated Column named
BP_CUSTOMER
 Select INTEGER as the data type
 Enter the following expression
“BP_ROLE” = „01‟
Note: The above expression will
either return 0 or 1 depending on the
value of BP_ROLE.
 Click Add.
8. Next create another Calculated Column
also within the Projection node named
BP_SUPPLIER
 Select INTEGER as the data type
 Enter the following expression
“BP_ROLE” = „02‟
 Click Add.

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9. Click on the Output node.
 Add Country and Company name as
Attributes
 Add both the Calculated Columns
BP_CUSTOMER and
BP_SUPPLIER as Measures.
10. Next create a counter.
 Right click on Counters > New
 Name the Counter TOTAL
 Click on the Add Attribute button
and select COMPANY_NAME
 Click OK.
11. Hide the Company Name Attribute.
 Click on the Company Name >
within the properties window > set
the Display Attribute value to false >
Also set Hidden > true.

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12. Save, Activate. Preview

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Exercise 4: (Optional) SQL Editor
This exercise is an extension to the first exercise and will show students how variables and input parameters are used
within SQL statements.
4.1 Preview SALES_DELIVERY_CV
1. Expand your exercise1 package and
perform a Data Preview on the
Calculation View
2. Within the Prompts window supply the
same values as you did before and click
OK to execute the query.
DELIVERY DATE (Variable):
20120101 - 20120501
CREATED ON (Variable):
20120101 – 20120501
COUNTRY (Input Paramater):
US
3. After the results are returned click on
the Icon to copy the SQL statement.
 Note: The default SQL statement
generated by the standard Preview
returns all possible dimensions; we
therefore need to change the SQL
query to something more optimal
within the SQL Editor.
 Click on Copy.

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4. Open the SQL Editor.
 Ensure to first click on the
connection > SQL icon in the top
menu bar.
5. Paste (CTRL+V) the SQL statement into
the SQL Editor
6. Modify the SQL statement to include several measures but only 1 dimension (COUNTRY).
 Notice how the Date Variable are passed down into the Database through WHERE clauses
 Notice how the Country Input Parameters are passed into the Database through the PLACEHOLDER syntax.
SELECT
sum("ORDER_QTY") AS "ORDER_QTY",
sum("TAX_AMOUNT") AS "TAX_AMOUNT",
sum("NET_AMOUNT") AS "NET_AMOUNT",
sum("GROSS_AMOUNT") AS "GROSS_AMOUNT",
sum("DELIVER_QTY") AS "DELIVER_QTY",
sum("GROSS_AMOUNT_CM") AS "GROSS_AMOUNT_CM",
"COUNTRY"
FROM
"_SYS_BIC"."eim260.sessionX.eim260-XX.exercise1/SALES_DELIVERY_CV"
('PLACEHOLDER' = ('$$IP_COUNTRY$$', 'US'))
WHERE
("CREATED_ON" BETWEEN ('20120101') and ('20120501')) AND
("DELIVERY_DATE" BETWEEN ('20120101') and ('20120501'))
GROUP BY
"COUNTRY"
7. Press F8 to execute the query.

39. 39
Appendix
Setting up an ODBC Connection (Prerequisite: Install the HANA Client Driver)
When the 32x Microsoft Office is used ensure to install the 32x HANA Client Driver. Also ensure to use the 32x ODBC
Configuration within the SysWOW64 directory. Click on the odbc32.exe to open up the ODBC Data Source
Administrator.
Add HANA ODBC Connection under SYSTEM DSN.

40. 40
Select the HDBODBC32 driver and click Finish.
Enter the server name followed by „:‟ and the port. Click Connect to test the connection and supply your user
credentials. (The user information entered here is merely for testing and will not be stored). The configuration is
complete when you see a successful connection the message.

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