Data entities and packages framework. This topic provides information about using data entities and data entity packages. Data entities. Data entities provide conceptual abstraction and encapsulation of underlying table schema that represent data concepts and functionalities. In Microsoft Dynamics AX 2. Customer and Vendor tables, were de- normalized and split into multiple tables. This was beneficial from a database design point of view, but made it difficult for implementers and ISV’s to use without a thorough understanding of the physical schema. Data entities were introduced as part of data management to be used as a layer of abstraction to easily understand by using business concepts. In previous versions of Microsoft Dynamics 3. Finance and Operations, Enterprise edition, there were multiple ways to manage data, such as Microsoft Excel Add- ins, AIF, and DIXF. The concept of data entities combines those different concepts into one. The advantages you gain and problems you experience when upgrading to Microsoft Access 2007 from previous versions. The Microsoft Jet Database Engine is a database engine on which several Microsoft products have been built. A database engine is the underlying component of a. Working with Tables Field Data Types Creating Table Relationships Linking Tables tells Access how two tables are related to each other. The. Thus far in this tips series on Access and SQL Server, we have created an ODBC Data Source Name (DSN) using the OLEDB driver for connecting to SQL Server 2000, as. ![]() After data entities are created, you should be able to reuse them for an Excel Add- ins, import/export, or integration. The following table shows core data management scenarios. Data Migration. Migrate reference, master, and document data from legacy or external systems. Setup and copy configuration. Copy configuration between company/environments. Configure processes or modules using the Lifecycle Services (LCS) environment. Integration. Real- time service based integration. Asynchronous integration. Data migration. The following pain points can occur during migration: Inability to quickly do iterative migration and validations. Multiple hops that lead to multiple dependencies and change of errors. Complexity due to repeated manual interventions. Difficulty in tracing and error troubleshooting. Difficulty migrating a large volume of data within a time constraint. During migration, you can strategize and choose data entities. Data entities also save time during implementation because previous activities required data export from a database, data export validation, and data transformation to files such as Excel or XML. These hoops have been eliminated. If an import error occurs, you can skip selected records and choose to proceed with the import using the good data, opting to then fix and import the bad data later. You will be allowed to partially continue and bad data will be indicated by using errors. Data imports can be easily scheduled using a batch, which offers flexibility when it is required to run. For example, you can migrate customer groups, customers, vendors, and other data entities in the system at any time. Set up and copy configuration. Starting a new implementation can be difficult because the knowledge of the data that needs to be entered can sometimes be limited. Data must be entered by module, or it must be configured using business processes. It is even more difficult to determine data dependencies and how the data sequencing should be configured in the implementation. Re- usability is also a factor as to where and how data can be used across environments. These pain points are now addressed. Movement of data becomes easier as it moves from test to staging to production environments. Movement of data can occur in any order. This is not a movement of the entire database but rather, only the data entities that you have chosen. Migration now allows: Moving data between two similar systems. Discovering setup entities and any dependency between each entity for a given process or module. Maintaining a reusable library of data templates and datasets. Data packages is a new concept that allows you to build incremental data entities. Data entities can be sequenced inside the packages. You can name data packages, which can be easily identifiable during import or export. When building data packages, data entities can be mapped on staging tables in a tabular format or by using available visual representation in data management. You can also drag- and- drop columns manually, depending on the mapping that you want for an entity. During import, data can easily be viewed using data management enabling data comparison. Data management concepts. The following terms are introduced. Data project. A project that contains configured data entities, which include mapping and default processing options. Data job. A job that contains an execution instance of the data project, uploaded files, schedule (recurrence), and processing options. Job history. Histories of source to staging and staging to target. Data package. A single compressed file that contains a data project manifest and/or data files. This is generated from a data job and used for import or export of multiple files with the manifest. Using data entities. The following sections provide quick snapshots of the different functionalities of data management using data entities. The goal is to help to you strategize and make effective decisions on how to best utilize the available tools during data migration. You will also find tips and tricks on how to effectively use each area during data migration. A list of available data entities for each area can also be found with the suggested data sequences, showing data dependencies. Microsoft provides data packages that can be found on Lifecycle Services (LCS) as an initial guide. The information in this document can be used as a guide for creating your own packages. The description of each data entity shows what the object contains and if it is needed during data migration. Sequencing. There are two types of sequencing that should be considered when working with data entities. Sequencing data entities within the data packages. Sequencing for the order of importing the data packages. Sequencing data entities within the Data Packages. When a user adds data entities to a data project, by default, a sequence is set for the order in which the entities will load. The first entity added to the project will be set as the first entity to load, the next entity added will be second, the next entity will be third, and so on. For example, if a user added two entities in this order, Sales tax codes and Sales Tax groups, Sales tax codes is assigned an entity sequence of 1. Sales tax groups is assigned an entity sequence of 1. The sequence level indicates that the second entity will not start the import process until the first level has completed. To view or edit the sequence, click the Entity sequence button on the Action Pane of the data project. In the definition group entity sequence, you can see the execution units and the sequence. The sequence can be changed by selecting the data entity in the list, setting a different Execution unit or Sequence in level, and then clicking Update selected. After clicking Update selected, the entity will be moved up or down in the entity list. To further illustrate, the following screenshot shows the entity sequence that is set for the Sales Tax Code. Groups data package. In order to successfully import sales tax codes and groups, the sales tax codes and details have to be loaded first, before sales tax groups can be imported. Sales tax codes and groups are all in Execution unit = 1, but the sequences are in the order that they will be imported. Other related sales tax entities that are not dependent upon other data entities being loaded are included in the package. For example, sales tax exempt numbers, is set in its own Execution unit = 2. This data entity will start loading immediately because there are no dependencies on other entities loading before it. Sequencing of the data packages In order to successfully load data, the order of loading the data packages is important because of dependencies that exist within and across modules. The numbering format that has been created for the data packages within LCS are as follows: First segment = Modulearea. Second segment = Data type (Setup. Master. Transaction)Third sequence = Sequence number. The following tables provide more information about the different kinds of numbering. Module. Area numbering. Data type numbering. Numbering format. The data packages will have the numbering format, followed by the module abbreviation, and description. The following example shows General ledger data packages. Mapping. When working with data entities, the mapping of the entity to the source is automatic. This mapping of fields can be overridden if needed. To view the mapping, locate the tile for the entity in the project, and then click View map. Catalog a DVD collection with Access. Microsoft Access - Create a DVD catalog. Helen Bradley. Learn how to restore order to your DVD collection with a database. I'll show you how to get started tracking a DVD collection (or any other collection) using your own custom designed Microsoft Access database. You have probably heard of Microsoft Access, but you may never have used it fearing that it is complicated and more than you need for simple lists. While it is true that Access is a powerful database program, it is also useful for recording and managing simple lists of data. In fact, Access in spite of its size, is relatively easy to use and offers features such as Wizards which step you through typical processes such as querying the database and creating data entry forms. I'll show you how to create a simple database table to store information about your DVD collection – although the process is similar for any type of collection. Along the way you will learn how to create the database, record information and query the data file – all the basic skills needed to manage any data file. here. Getting started. Consider this scenario; you have a lot of DVDs and you'd like to keep track of them.If you lend your DVDs to friends you can track this data to so you know where they are.To create a database to store the details of your collection, start by determining what data you need to record.To do this work out what information you expect the database to provide you with.For example, to know who has borrowed a DVD you will need a field to record the title of the DVD and one to record the name of the person you have lent it to. This is a sample list of fields you may use to record your DVD collection: ID, Title, Category, Major. Stars, Producer, Director, Year, Rating, Length, Borrower, Date. Lent. Create a data structure. To create a database for this, launch Access, choose File, New, Blank Database, type a name for your database (DVDs) and click Create. When the Database dialog appears, click Tables in the Objects list and click Create table in Design view. Here you enter the column headings for your table and each Data type. Use the fieldnames ID, Title, Category, Major. Stars, Producer, Director, Year, Rating, Length, Borrower, and Date. Lent. All are character field types except ID which is an Auto. Number field, Year and Length are Number fields and Date. Lent is a Date/time field. To enter a field, type the field name, press Tab, type or select the field data type and then continue to the next field. Continue until all the fields are entered. When you're done, click the box to the left of the field name ID to select this row. Right click and choose Primary Key to set this field as the data table's primary key for sorting data. Click the View button at the far left of the toolbar and, when prompted, save your table and call it DVDs. The first step is to create a structure for recording your data. Enter your data. You're now ready to enter some sample data into the file. Type the details for five or six of your DVDs into the list by typing the details into one column, and press Tab to move to the next column to enter the data there. If there is too much data to fit into one column, for example, you may have too much information to go into the Major. Stars column, you can make the column wider. To do this, click the View button in the top left of the window to return to Design view. Select the field and, in the General tab, increase the value in the Field Size area to allow more room. When you are done, return to Datasheet view by clicking the View button and continue to enter your data. Notice that the ID field is an Auto. Number field so Access automatically increments the numbers for you as each record is entered. When all the data is entered, close the table by clicking the Close button in the top right corner of the window. This returns you to the Database dialog where you will see your table listed in the Tables area of the dialog. To open the table at a later date, click it and click Open. Create a Data Form A data form can make it easier to enter DVD details into your data file. Once you have entered the details of a few DVDs into your data file you might have realised that the Datasheet view is not particularly easy to work with. Not only is there a lot of data showing here but, if you move across to the right to enter details into one of the last columns – you can't any longer see the data from the first few columns. In all, its not a very easy method of entering data. In fact a simple form that shows only the current record – in our case a DVD – would be easier to use. Access lets you create forms for entering data and these can be designed with colour and neat headings so they're good looking and functional. To create a form in Access use the Forms Wizard. Click on Forms in the Objects area of the Database dialogue box and double click Create form by using wizard. In the first step of the wizard, your table will be selected. Click the double chevron to add all the fields in your table to the form. Click Next. Choose Columnar as the form layout and click Next. Choose an attractive Style from the list and click Next. Type the name DVD Data as your form name and click the Open the form to view or enter information option. Click Finish. The new form appears on the screen – to enter another DVD, click the New Record button on the toolbar and type the data. Forms are an attractive way to enter data and view successive records. Printing your data file. It's one thing to put data in a database, sooner or later you'll need to get it out too. Step 1: Start the Report Wizard. Click Reports in the Objects list and double click Create report by using wizard. Select the fields to include in the report and click the chevron button to move each of them into the Selected fields pane. Click Next. Click a field to use it to group the data, for example, Category. Click Next. Step 2: Choose your layout. Choose the field to sort your data on, such as Title. In other situations, for example, when working with names you may need to sort on two fields, set the first field to Last name, and the second field to First name.) Click Next. Choose a layout such as Aligned Left 1 and Landscape orientation and click Next. Step 3: View your report. Choose a report style to use, click Next and type a name for your report, select Preview the report and click Finish. Your report appears on the screen and you can print it by clicking the Print button or adjust its layout and design by clicking the View button. Finding a DVD in your collection. The Access Query Design tool makes finding data in your DVD file a simple process. Step 1: Start your query. To find information in your file, for example, to find all the Comedy DVDs, create a query. Click Queries in the Objects list and double click Create query in Design view. In the Show Table dialog, choose the DVDs table, click Add and then Close. Step 2: Select the fields. The query is created using the on screen grid. Drag every field you want listed in the results into a column in the grid (you can also double click a field name to move it automatically there). Choose all the fields you want to see - include the Genre field too. Step 3: Specify a Search value. To locate all the Comedy movies, type "Comedy" (including the quotes) in the Criteria line under the Genre field name. Click the Run button on the toolbar (it has an exclamation mark on it) to run the query. Click the Design button to return to your query. Short Cut and Quick Tips. To copy a field's value from the previous record (saving retyping it), press CTRL + ' (apostrophe). Add a picture. Add a picture to a form in Design View by clicking the Image button and drag to create the shape, choose the image to use and click Ok. Force field completion. To force a field to be completed, in table Design view click the Field and in the Field Properties area set Required to Yes. Default data. To place default data in a field (eg country UK), in table Design view, click the field and click the General tab and type the entry in the Default Value area. Hyperlink data. To include hyperlinks in a data file, create a field using the Hyperlink data type. In Datasheet view, right click the field and choose Hyperlink, Edit Hyperlink. Find data in a field. To find data in a field such as Tom Hanks is the Major. Stars field where he is only one of a number of stars, enter in the Criteria area for that field: Like "*Hanks*".
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