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www.sap-press.com 1
Mastering SAP NetWeaver Master Data Management
Bernd Schloemer
Contents
1 Introduction .................................................. 3
1.1 Contents of the Individual Chapters ....... 3
1.2 Acknowledgments ................................. 4
2 The Sample Project ........................................ 5
2.1 Process .................................................. 5
2.2 Consolidation and Harmonization .......... 5
2.3 Importing the Sample Repository ........... 6
2.4 Summary ............................................... 7
3 The Repository .............................................. 9
3.1 Repository Structure .............................. 9
3.2 Creating a Repository ............................. 9
3.3 Loading a Repository ............................. 11
3.4 Creating the Necessary Tables ................ 11
3.5 Creating the Client Systems ................... 13
3.6 Creating Users and Roles ....................... 14
3.7 Conguring Change Tracking .................. 16
3.8 Summary ............................................... 16
4 Preparatory Data Maintenance ...................... 17
4.1 Data Manager: Startup and Overview .... 17
4.2 Data Maintenance in Tables ................... 18
Flat Table .......................................... 18
Hierarchy Table ................................. 18
Image Table ....................................... 20
Products Table ................................... 21
4.3 Summary ............................................... 23
5 Importing Master Data ................................. 25
5.1 Loading Data from a Microsoft
Excel File ............................................... 25
Import Manager ................................ 25
Assigning a Source and a Destination 26
Value Mapping .................................. 28
Performing the Import Process .......... 30Checking the Import in the Data
Manager ........................................... 31
5.2 Batch Import ......................................... 31
5.3 Importing an XML File ........................... 32
5.4 Summary ............................................... 34
6 Data Maintenance Using the Data
Manager ........................................................ 35
6.1 Searching ............................................... 35
Limiting the Data .............................. 35Free-Form Search .............................. 35
Operator ........................................... 36
Reset Search ..................................... 36
Saving the Search .............................. 36
Searching in Hierarchy Tables ............ 36
6.2 Comparing Items ................................... 36
6.3 Protecting Entries .................................. 37
6.4 Check-In and Check-Out ....................... 38
6.5 Validations ............................................. 40
Grouping Validations ......................... 42
Extending the Encoding .................... 44
6.6 Relationships ......................................... 44
6.7 Masks .................................................... 48
6.8 Attributes .............................................. 49
6.9 Modeling the Workow ......................... 51
Start Step .......................................... 52
Process Step ...................................... 52
Validation Step .................................. 52
Process Step (2) ................................ 53
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Validation Step (2) ............................ 53
Approve Step .................................... 53
End Step ........................................... 53
6.10 Executing the Workow ......................... 53
6.11 Summary ............................................... 56
7 Consolidation ................................................ 57
7.1 Consolidation with the Import Manager 57
7.2 Consolidation with the Data Manager .... 60
Matching Based on a Search .............. 60
Matching in the Data Manager .......... 63
7.3 Summary ............................................... 66
8 Exporting Master Data .................................. 67
8.1 Syndicator GUI ...................................... 67
Export into a Flat File ........................ 68
Export into an XML File .................... 69
8.2 SyndicatorBatch ..................................... 71
9 Summary and Outlook .................................. 73
Index ............................................................. 75
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This chapter discusses the various Data Manager func-
tionalities that are required for data maintenance. At rst
you will become familiar with the different possibilities
of searching data or managing searches within the Data
Manager. Additionally, we will explain other function-
alities such as comparing data records or check-in and
check-out functionalities. Using the examples, you will
also learn about the concept of attributes as well as vali-dations as a prestage to the workow.
Searching6.1
The Data Manager supports various procedures for
searching for data in the different table types. In addi-
tion to thefree-form search, you can also use restrictions
for the referenced tables (Colors, Category, etc.) to
limit the view of the Record area. As a rst step, we will
use the free-form search for searching for entries in the
Products table. For this purpose, switch to the Record
Mode and select the Products table from the toolbar.
Limiting the Data
To limit the data displayed in the Record view according
to your own criteria use the referenced tables, for exam-
ple, Category, as a selection criterion. To display all data
records of the Products table that have a value ofPC in
the Category table, proceed as follows:
Change to the1. Record Mode.
In the list box of the menu bar, select the2. Productstable.
In the tree structure of the3. Category tab, click on the
PC entry (see Figure 6.1).
Note how the number of rows changes in the
Record area when you click on different nodes of
the tree structure.
Select the4. Color tab and repeat the procedure. Note
that in this view, Color only displays the values that
are actually referenced in the Products table.
Selecting the CategoryFigure 6.1
Free-Form Search
In the table view, click on the Free-Form Search tab. You
will see a view similar to that shown in Figure 6.2.
In the entry eld to the right of Name, enter Hard
drive in the Value column and note how the number of
rows changes in the Record area.
Free-Form SearchFigure 6.2
Data Maintenance6 Using the Data Manager
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6 Data Maintenance Using the Data Manager
Operator
For every search, you can select the operator for every
eld to be searched from the list box. (See Figure 6.3.)
Changing the OperatorFigure 6.3
By combining individual search operators with the elds
to be searched, the Data Manager provides an ef-cient search tool. The following search operators are
supported:
containsE
starts withE
ends withE
equalsE
excludesE
sounds likeE
language layerE
is NULLE
Reset Search
An active searchand thus the display of data in the
Record areacan be reset at any time by clicking on the
Reset Search button in the toolbar (see Figure 6.4).
Resetting the SearchFigure 6.4
Saving the Search
A search can be saved via the Search menu. Additionally,
you can use the Search menu to delete or call existing
searches. This is a useful feature, particularly for recur-
ring searches with search parameters in several elds (see
Figure 6.5).
Saving and Managing SearchesFigure 6.5
Searching in Hierarchy Tables
Hierarchy tables can be searched in a similar way as the
free-form search. First change to the Hierarchy Mode
and then search for all rows that contain the string PC
(see Figure 6.6).
Searching Hierarchy TablesFigure 6.6
Tip
Note that the methods for searching and restricting
data shown previously can be combined. For this pur-
pose, you can rst limit the number of data records in
the Record area, for instance, by selecting a category.
Then you can further limit the result set of the data re-
cords using a free-form search, for example.
Comparing Items6.2
For the comparison of several items, MDM provides the
compare function, which enables a simultaneous presen-
tation of the selected items. To use this function, change
to the Record Mode and from the list box, select the
Products table (see Figure 6.7).
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6.3 Protecting Entries
Selecting the Products TableFigure 6.7
In the table, select several products of the same type, for
instance, all hard drives, and then in the right-click con-
text menu select Compare Records... (see Figure 6.8). As
a result, you are presented with a view in which you can
compare the selected entries (see Figure 6.9).
Selecting and Comparing Products of the Same KindFigure 6.8
Comparing ProductsFigure 6.9
Protecting Entries6.3
Depending on the business process, it makes sense to
protect individual entries in the Products table, for
example, against changes. For this purpose, switch back
to the Record Mode and select the Products table from
the list box. Select several entries, and in the context
menu go to RemovefromMaskProtectionProtect
(see Figure 6.10).
Protecting Entries against ChangesFigure 6.10
As a result, the selected entries will be displayed with a
padlock icon in the rst column; these entries are now
locked (see Figure 6.11). Select one of the items marked
with such a padlock and try to change individual elds in
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6 Data Maintenance Using the Data Manager
the Record Detail area. As can be expected, you will not
succeed because all elds are protected against changes.
Locked EntriesFigure 6.11
Individual or all protected entries can also be unlocked
again via the context menu (Protection Unprotect)
(see Figure 6.12).
Unlocking EntriesFigure 6.12
Check-In and Check-Out6.4
Similar to the Protect functionality, MDM also provides
a check-in and check-out mechanism that enables you to
protect one or several entries against changes by other
users. This functionality is applied, for example, when
several people simultaneously work in a repository and
make changes. An entry with a check-out cannot be
changed by other users until the check-in. To test this
functionality, change to the Record Mode and from the
list box, select the Products table. Mark an entry in the
Record area, and in the context menu select CheckIn/
OutCheckOutExclusive (see Figure 6.13).
As you can see, there are other options apart from
the exclusive check-out. The check-out for new records
is particularly interesting. It can be used to protect new
records against being changed immediately after their
creation.
A record with a check-out is identied by the yellow
icon in the second column of the Records area (see Fig-
ure 6.14).
In the Record Detail area, now change the Manufac-
turer from ATI to Dummy and click in the Records area
to save your change. This means you check out the data
and try to change it in the second Data Manager. Open
the Data Manager a second time and log on as the Copy-
writer user.
Selecting Check-In and Check-OutFigure 6.13
Record with Check-OutFigure 6.14
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6.4 Check-In and Check-Out
Note
It is important that you log on as another user in the
second Data Manager instance instead of the one you
are currently using.
As you can see in Figure 6.15, the record also has the
check-out icon here and is also marked light blue. It is
therefore not possible to change the elds for this record
in the Data Manager.
Record with Check-Out IconFigure 6.15
Change to the Data Manager with your Admin user. The
Manufacturer eld still shows a value of Dummy (see
Figure 6.16).
Dummy Value in the Manufacturer FieldFigure 6.16
In the Check In/Out context menu, now select the Roll
Back menu option (see Figure 6.17). This function resets
the changes to the Manufacturer eld to the original
value. Additionally, the check-out icon has been removed(see Figure 6.18). You could have used the Check In menu
option to accept your change and to check the record
back in, that is, release it to be edited by other users.
Selecting the Roll Back OptionFigure 6.17
Original ValueFigure 6.18
The Modify Join Permissions context menu option opens
another window (see Figure 6.19), in which you can useAdd to allow other users to edit one of the checked-out
records.
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6 Data Maintenance Using the Data Manager
Modify Join PermissionsFigure 6.19
When a record is edited by several users, to ensure that a
eld cannot be edited simultaneously by multiple users,
an error message as shown in Figure 6.20 is displayed
when other users are trying to change the same eld.
Error MessageFigure 6.20
Validations6.5
With validations, the Data Manager allows you to check
the contents of individual or several records at a time.
A validation always returns a boolean value (true or
false). This value is indicated in the Records area as a
new column with a red or a green icon (red for false,
green for true). To create a validation, in the Record
Detail area go to the Validations tab. Now right-click
within the area below Validations and select Add Valida-
tion from the context menu (see Figure 6.21).
Creating a ValidationFigure 6.21
The rst validation is to check whether all entries in Prod-
ucts have a price. As the name of the validation, enter
Check Price (see Figure 6.22). In the Table eld, enter
Products as the table name.
Entering a Name for the ValidationFigure 6.22
You can start the Code Editor for the validation by click-
ing on the [Validation Expression] button in the Valida-
tion eld (see Figure 6.23).
Starting the Code EditorFigure 6.23
The Code Editor is now displayed (see Figure 6.24) and
enables you to use the list boxes (Fields, Operators,
Functions, etc.) to conveniently access predened func-
tions and the elds of your tables.
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6.5 Validations
Functions of the Code EditorFigure 6.24
To check the contents of a eld, you can use the Is Null
function. For an empty eld, this would return true
(green icon). However, it makes more sense to have a red
icon in our case; therefore we will use the Is Not Null
function, which will return false. Now select this func-
tion as shown in Figure 6.25.
Selecting the Is Not Null FunctionFigure 6.25
The Editor window now displays the inserted function.In the Editor window, place the cursor between the
two parentheses of the function, and from the list box
select the Price eld (see Figure 6.26). Your Editor should
now display the entry IS_NOT_NULL(Price) (see Figure
6.27).
Field SelectionFigure 6.26
Entry in the Code EditorFigure 6.27
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6 Data Maintenance Using the Data Manager
Exit the Editor by clicking on the OK button. Before you
test the next validation, in the Products table add a data
record without a value for Price. As shown in Figure 6.28,
use the Add menu option from the context menu.
Creating an EntryFigure 6.28
In the Products table, select all entries by pressing
[Ctrl-A], and then in the context menu, go to Valida-
tionsExecuteCheckPrice as shown in Figure 6.29.
Checking the PriceFigure 6.29
As a result of the validation, a new column, Check Price,
is created in the Records area, and all entries except forthe new data record have a green icon (see Figure 6.30).
Entries with Checked PriceFigure 6.30
Proceed in the same way to create the validations Check
Image (see Figure 6.31) and Check Desc(see Figure 6.32)
that will check the contents of the Image and Descrip-
tion elds.
Validation Check ImageFigure 6.31
Validation Check DescriptionFigure 6.32
Once you have entered these validations, your Data Man-
ager should display the entries shown in Figure 6.33.
ValidationFigure 6.33 s in the Data Manager
Now check your new validations as described previously.
As you might have noticed, you can only run one valida-
tion at a time. To run several validations simultaneously,
SAP NetWeaver MDM provides two options:
Group the validations.1.
Extend the encoding.2.
Lets rst have a look at grouping validations.
Grouping Validations
To create a validation group, right-click in the Validation
area and from the context menu, select Check Price
EditValidationGroups... (see Figure 6.34). Then right-
click on Validation Groups and select Add Child (see Fig-
ure 6.35).
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6.5 Validations
Edit Validation GroupsFigure 6.34
Specify a name for your new validation group, for exam-
ple, CheckProd, and close the window by clicking on
the OK button (see Figure 6.36).
Add ChildFigure 6.35
Validation Group CheckProdFigure 6.36
Change to the Check Price validation and then open the
list box in the Group eld. Use the Add button to add the
CheckProd group to your validation (see Figure 6.37).
Adding a Validation to a GroupFigure 6.37
Repeat these steps for the Check Images validation and
add it to the CheckProd group as well.
Test the validation group by selecting all entries in theRecords area by pressing [Ctrl-A] and selecting Check-
Prod from the context menu, as shown in Figure 6.38.
As a result, you will see two new columns correspond-
ing to the two validations in the CheckProd group (see
Figure 6.39).
Testing a Validation GroupFigure 6.38
Validation ResultFigure 6.39
Lets now take a look at the second option of running
several validations simultaneously: the extension of the
encoding.
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6 Data Maintenance Using the Data Manager
Extending the Encoding
Another option for merging several validations is to join
the validations in the Code Editor. Create a new valida-
tion named Check All and call it in the Code Editor. Use
the list boxes to create the code shown in Figure 6.40.The AND can be obtained via the Operators list box.
Code in the Code EditorFigure 6.40
Save this validation and check it. Now select the new
validation from the context menu (see Figure 6.41). This
results in a new column [Check All], the rows of which
should each display a red icon as the validation result
(false) (see Figure 6.42).
Selecting Check AllFigure 6.41
New Column [Check All]Figure 6.42
Relationships6.6
In SAP NetWeaver MDM, a relationship is an option of
expressing dependencies between entries, for example,
between different products. In real life, relationships are
used for the following purposes:
To illustrate that a material belongs to an assemblyE
To dene alternative materials for a material.E
Assembly is a term used for grouping materials on dif-
ferent levels. For example, a car engine consists of vari-
ous individual materials that are grouped in the engine
assembly.
Before we can use relationships we must create the
appropriate tables in the MDM Console. Close the Data
Manager and change to the MDM Console. First unload
the current mdm_book repository by going to Unload
RepositoryImmediate so that you can make changes
(see Figure 6.43).
Unloading a RepositoryFigure 6.43
Change to the Relationships table and right-click in
the Records area. Select Add Relationship (see Figure6.44).
Adding a RelationshipFigure 6.44
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6 Data Maintenance Using the Data Manager
In addition to this manual method, you can also
import relationships from a le. Such import les are sim-
ple text les that contain two elds per row. These elds
are separated by tabs. The following listing illustrates the
setup of such an import le:
Name [tab]Name
PC INTEL CELERON[tab]Power Supply
PC INTEL CELERON[tab]Mainboard AMD
PC INTEL CELERON[tab]Hard drive 300G
To import relationships, select Import from File in the
Relationships menu and select the relation.txt le (see
Figure 6.54).
Relationship EditorFigure 6.49
Select the parts tab and click again on your Data
Manager to select the following rows in the Products
table:
Hard drive 300GE
Mainboard AMDE
Power SupplyE
VGA cardE
Then select Add to Group in the Relationships menu
(see Figure 6.50).
Selecting PartsFigure 6.50
The selected rows are transferred to the Relationship Edi-
tor and listed as PC AMD Sempron children (see Figure
6.51).
Assigned ChildrenFigure 6.51
Now, close the Relationship Editor and select again PC
AMD Sempron in the Records area. As shown in Figure
6.52, the Record Detail area shows that the parts
entry has four relationships with other entries.
Entry Including RelationshipsFigure 6.52
In this example, you added the selected parts by selecting
the assembly (PC AMD Sempron). You can also select a
part directly and assign it to an assembly by using the PC
tab in the Relationship Editor (see Figure 6.53).
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6.6 Relationships
Direct Selection of a Component and Assignment to an AssemblyFigure 6.53
Importing a RelationshipFigure 6.54
A status report is displayed after the import has been com-
pleted (see Figure 6.55). The status report enables you to
determine whether all relationships can be created.
Status Report with Successfully Imported RelationshipsFigure 6.55
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6 Data Maintenance Using the Data Manager
Masks6.7
In SAP NetWeaver MDM, masks enable you to create
one or more subsets of the current repository without
having to store the master data in duplicate. To create a
new mask, select the Masks table in the list box of the
menu bar (see Figure 6.56).
Creating a New MaskFigure 6.56
Right-click in the Records area and select Add in the con-
text menu. Name the new mask Demomask (see Fig-
ure 6.57).
Naming a MaskFigure 6.57
Having saved the mask, change to the Products table
and select the tab for the free-form search. Search for
entries that contain the VGA value in the Name eld (see
Figure 6.58).
Free-Form SearchFigure 6.58 for VGA Value
Select the two entries found and select Add to Mask
Demomask in the context menu, as shown in Figure
6.59. You can now see that your demo mask was entered
in the Masks eld in the Record Detail area (see Figure
6.60).
Context Menu: Add to MaskFigure 6.59
DemomaskFigure 6.60 in the Record Detail Area
First, delete possibly active searches using the Reset
Search button (see Figure 6.61). Then, select the Mask
tab and switch between both entries [None] and Demo-
mask. Note how the number of the data records changes
(see Figure 6.62).
Resetting a SearchFigure 6.61
Selecting a MaskFigure 6.62
The context menu provides other functions, such as
Remove from Mask to remove masks and Replace in
Mask to replace masks (see Figure 6.63).
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6.8 Attributes
Other Functions in the Context MenuFigure 6.63
Using the MDM Console, you can assign masks with the
appropriate authorizations to a role. This enables you to
easily set up different authorization concepts within a
repository.
Attributes6.8
In the case study, we used the taxonomy table, Cate-
gories, that is already dened to divide the products
into different areas (ofce supplies, PC, etc.). Using the
attributes concept, SAP NetWeaver MDM enables youto divide the products into other categories based on the
taxonomy tables. This case study provides a category for
PC hard drives. However, another classication of the
hard drives into capacities would be useful. To imple-
ment this requirement, create a Size attribute as well as
different areas for capacities. The new attribute is pro-
vided for entries in the Products table that are assigned
to the PC Hard drives category.
To create a new attribute, change to Taxonomy Mode.
Right-click in the Records area and select Add in the con-
text menu (see Figure 6.64).
Creating a New AttributeFigure 6.64
Enter the following values in the Attribute Detail area
(see Figure 6.65):
Name Drive capacity
Alias Capacity
Defnition Capacity for hard drives
The Attribute Detail tabFigure 6.65
Now, click on the Add button and enter the followingvalues in the following order (see also Figure 6.66):
Text:
< 100 GBE
100 200 GBE
200 300 GBE
> 300 GBE
Selecting an AttributeFigure 6.66
The attribute can be saved by clicking in the Records
area. In the next step, you must link the attribute with
one or more entries of the taxonomy table. In our case
study, you should only link the attribute with the PC
Hard drives value. Thus, select this value and then Link
in the context menu, as shown in Figure 6.67.
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AAction item, 27, 30, 59
Adapter, 6
Approve step, 53
Assembly, 44
Attribute, 22, 49
Link, 50
Select, 49
BBatch import, 31
Batch Import Manager, 25, 30
Boolean value, 40
CCategories, 18, 19
Changes
Protection against, 37
Change tracking, 16
Check-in/Check-out, 38
Child, 19
Client systems, 13, 25
Code Editor, 41, 44
Color, 18
Command line, 31
Compare function, 36
Comparing data records, 35
Consolidation, 5, 57
Contains, 36
DDatabase account, 10
Database server, 10
Data group, 20
Data maintenance, 35
Data Manager, 5, 9, 17, 31, 35, 57
Consolidation with, 60
Record, 17
Record details, 17
Record infos, 17
Tables, 17
Data, restrict, 16
Demo mask, 48
Description, 22
Destination
Assigning, 26
EEditing modes, 18
End step, 53
Ends with, 36
Equals, 36
Excludes, 36
Execute import, 59
Export, 67
Into an XML file, 69
Into a flat file, 68
Into an XML file, 71
Expression Editor, 61
FFamily mode, 18
Field mapping, 26, 28, 33
Flat table, 18
Free-form search, 35, 48, 61
HHarmonization, 5, 6
Hierarchy, 10
Hierarchy mode, 18
Hierarchy table, 18
Searching, 36
IImages, 20
Image table, 20
Import, 25, 30
Check, 31
Perform, 30
Processing steps, specifying, 26
Start, 26
Using an XML file, 32
Import action, 30, 59
Change, 30
Create, 59
Replace, 59
Skip, 59
Update (All Mapped Fields), 59
Update (Null Fields only), 59
ImportBatch.ini, 31
Import format, 25
Import Manager, 5, 9, 25, 26, 32, 57
Consolidation with, 57
Import status, 27
INI file, 31
Is NULL, 36
ItemCode, 22
Item Editor, 68
ItemName, 22
Items, 68
LLanguage layer, 36
Limiting the data, 35
Log file, 31, 32
MManufacturItemCode, 22
Map, 30, 31, 34, 60, 69
Mapping, 31
Mask, 48
Index
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Index
Matching
Based on a search, 60
Check, 20, 59
Field, 58
In the Data Manager, 63
Matching field, 34, 60Matching mode, 18
Match records, 65
MDM, 5
MDM Console, 5, 7, 9, 44, 49
MDM server, 7, 9, 10
Logon, 17
Startup, 17
MDMWorkflowInstall.exe, 51
Merge, 66
Merge Editor, 62
Microsoft Excel file, 25
Mount, 10
OOperator, 36, 44
Change, 36
Contains, 36
Ends with, 36
Equals, 36
Excludes, 36
Is NULL, 36
Language layer, 36
Sounds like, 36
Starts with, 36
PPort, 11
Price, 22
Process step, 52, 53
Products, 21
RRead/Write, 15
Record, 18
Record mode, 18
Reference, 20
Relationship, 44
Import, 47
Relationship Editor, 46
Repository, 6, 9, 11
Being loaded, 11Create, 9, 10
Load, 11, 45
Must be updated, 11
Selection, 17
Stopped, 11
Unload, 44
Reset search, 36
Role, 14, 16
Assign, 16
Create, 14
Roll back, 39
Rule, 64
SSample project, 5
SAP NetWeaver Exchange Infrastructure
(SAP NetWeaver XI), 5, 67
SAP NetWeaver Master Data
Management (MDM), 5
Scheduler, 71
Search
Saving, 36
Search expression, 61
Search operator, 36, 60
Sibling, 19
Sounds like, 36
Source
Assigning, 26
Source preview, 26
Start step, 52
Starts with, 36
Strategy, 64
Syndication, 67, 71
Syndicator, 6, 9, 67
SyndicatorBatch, 71Syndicator GUI, 67
Syndicator Server, 67
TTables
Create, 11
Taxonomy mode, 18
Transformation, 63
Trigger, 52
UUnarchive repository, 7
User, 14
VValidate step, 52, 53
Validation group, 42, 43
Validations, 40, 43, 52
Running simultaneously, 42
Value mapping, 28, 29, 33, 58, 59
Visio, 51, 52
WWeight, 22
Workflow, 5, 51, 53, 54, 56
Workflow tasks, 54
XXML file, 25, 32
Import, 32
Structure, 32
XML schema, 70
ZZip file, 6
Zoom, 23