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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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    Contents

    2 Galileo Press 2008. All rights reserved.

    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