This currency is used only in CRM Analytics applications. The first level impacted is the logical / physical  architecture of the Data Warehouse. If you worked out a naming convention, try to stick to it. For some use cases, a well-placed index will speed things up. General Naming Conventions. Also, if a particular logical dimension has a large number of records, it might be a good design practice to define a separate physical table for that particular logical entity. In a typical ETL job… This column is the unique identifier for the specific ETL process used to create or update this data. We have two examples to clarify the concept. We can identify, for example, the following logical areas: Staging Area: In this area we have all the entities that receive the flat data files coming from external systems. These tables are typically tagged as _DS or _FS. Staging tables for Usage Accelerator (_WS). DIT - Dimensional table - Table for dimensional analysis. Typical examples of these sections are the following: The dimensions of analysis present in the Data Warehouse, are not specific to a Data Mart, but they are shared by many data marts. These tables have a one-to-many relationship with the dimension table. This column identifies the last modified date and time of the auxiliary table's record that acts as a source for the current table. The following table describes the standard naming conventions and storage locations that SAS IT Resource Management uses when creating and saving the various objects that are associated with staging… One of the pitfalls of the original Dewey Decimal Classification as a library naming convention is the fact that it tends to reflect any biases in its organizational structure. staging tables naming convention is: /LT1/DS< consecutive number>. Table 4-7 lists the system columns used in data warehouse dimension tables. The naming convention is a key component of any IT project. Note that there are two types of delete tables: _DEL and _PE. Table 4-8 lists the currency codes and rates for related system columns. The Staged Table wizard uses the naming convention + Staging to name SAS libraries. Staging tables used to hold the metrics being analyzed by dimensions that have not been through the final ETL transformations. Used at ETL run time to resolve at target domain code base on the value of a source domain code. Tables used to hold information about helper tables that have not been through the final ETL transformations. It's the end of this brief journey through the naming convention techniques . The third level impacted concern documentation and deliverables. Each fact table contains one or more numeric foreign key columns to link it to various dimension tables. SQL naming conventions for tables, and all the associated objects such as indexes, constraints, keys and triggers, are important for teamwork. A value is either assigned by Oracle BI Applications or extracted from the source. The table includes all the primary key columns (integration ID column) from the source system. Used at ETL run time to resolve a target domain code based on the comparison of a numeric value within the source numeric range. For more information about multi-language support, see Chapter 3, "About Multi-Language Support.". This hierarchy information is stored in a separate table, with one record for each record in the corresponding dimension table. 3.3.3 - The sections of the level 1 Data Mart area. For information about setting up currencies, refer to the following task in Functional Setup Manager: Common Areas and Dimensions Configurations\ Configure Global Currencies. For each record in the dimension table, you will see multiple records in the associated translation table (one record for each supported language). Various logical dimensions are separated by a separator column, such as, type or category. In them, the mere presence of the line certify the occurrence of an event, such as the presence of a student in a university course. I am getting bored, please fchat with me ;) ;) ;) …████████████████████████████████████████████████████████████████████████████████████████████████. Fields for which the default value of the relevant ABAP data type (for example NUMC, DATE, or DECIMAL) is not … From what I understand “Computer” would comply better with standard naming conventions , but having an object named COMPUTER with an attribute like COMPUTER_NAME doesn't make sense since we're storing data on a variety of devices. These are truncated only during full load, and therefore, persist the data throughout. dim_equipment table, try naming the transformation load_dim_equipment. Staging table for populating incremental changes into W_DOMAIN_MEMBER_G and W_DOMAIN_MEMBER_G_TL. System field. Data in the staging area is temporary or semi temporary and can be deleted after all data is loaded into the CDW and the archive. Use names based on the business terminology, rather than the source terminology. Table 4-8 Currency Codes and Rates for Related System Columns. In order to be able to trace the data back to its source, it is recommended that you define separate unique source IDs for each of your different source instances. Stores the date on which the record was last updated in the data warehouse table. The date and time when the record was last modified in the source system. However, while doing so, you should consider that attributes specific to a particular logical dimension cannot be defined in this physical table. Table 4-3 lists the mini-dimension tables in the Oracle Business Analytics Warehouse. DAT - Data Table. In many languages, naming conventions (of identifiers) is not really relevant, because the way the language designs namespacing, there is relatively little risk for conflict. We should name our staging model sensibly, for example stg_orders_hashed.sql, although any consistent and sensible naming convention will work. There are two types of translation tables: Domain tables that provide multi-language support associated with the values stored in the %_CODE columns. Poorly-named tables and other objects make it difficult to maintain databases. In a typical dimensional schema, fact records join to dimension records with a many-to-one relationship. This type of fact table reassume many facts in one line summary of a situation at the end of a period of time. Schema and table names Contain the metrics being analyzed by dimensions. Tables store names and descriptions in the languages supported by Oracle BI Applications. Are basically tables that contain metrics, rate, or other measures, with their natural production codes not transformed in artificial keys. In other star schemas, however, querying returns only the primary account for a given contact. General data table typical of staging areas. Break all objects in areas of membership, allow us to associate them in a single scope, all  the items with similar logical/temporal affinity. Integration tables provide a place for integrating or staging data. project. During the initial full ETL load, these staging tables hold the entire source data set for a defined period of history, but they hold only a much smaller volume during subsequent refresh ETL runs. Stores the list of values for the list of values types in which the ETL process finds exceptions. Currency conversion rate from the document currency code to the local currency code. Tables that source multiple data extracts from the same source table. Designing, building, loading and managing a Staging Area for an Oracle Data Warehouse. When a staging table contains data, you can view the data records on the Staging Table Details screen and use the following functions: Filter the list of data records . This allows queries to be run for all subordinates by specifying only the parent in the dimension. Translation tables provide multi-language support by storing names and descriptions in each language that Oracle Business Analytics Warehouse supports.
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