Perform domain management in DQS

-
A knowledge base consists of domains. Each domain represents the data in a data field. Each value in a data field or domain is known as a domain value. DQS provides the ability to validate, cleanse, match and deduplicate values from any dataset against domain values in the DQS Knowledge Base.

Domains are created by performing a domain management activity. To create a DQS domain for valid supplier names in the Suppliers Knowledge Base, follow these steps:
  • Open the Data Quality Services client and connect to the DQS instance
  • Click on Open Knowledge Base button from the Knowledge Base Management section
  • Select Suppliers from the Knowledge Base list
  • Click on Domain Management from the Select Activity list, then click Next
  • Click on the Create A Domain icon
  • Type the following information on the Create Domain window:
    • Domain Name: SupplierName
    • Description: List of valid Supplier Names
    • Select String from the Data Type drop-down list
  • Check the Use Leading Values option
  • Check the Normalize String option
  • Select None from the Format Output To option
  • Select English from the Language drop-down list
  • Check the Enable Speller option
  • Un-check the Disable Syntax Error Algorithms option, then Click OK
















In the Domain Management activity, you can set field-wide properties, create rules, configure reference data services, or setup term-based or cross-field relationships. The domain properties shown above can be modified under the Domain Properties tab.

In the Reference Data tab of the Domain Management activity window, you add service providers from a Microsoft DataMarket subscription to standardize, correct, cleanse and enrich data. Unfortunately, the Microsoft DataMarket was retired on March 31, 2017 and you can no longer configure this service. At the time of this writing, no alternative service is available.

In the Domain Rules tab of the Domain Management activity window, you add rules that the domain values must pass in order to be deemed correct. For example, you can set up a rule the validates that the length of the domain value should be greater than or equal to five characters. All new domain values will be checked against this rule. If a domain value is added with less than five characters, the value will be marked as Invalid.

In the Domain Values tab of the Domain Management activity window, you add, import, edit or delete domain values. Values can be added manually or imported from Excel. You can also change the status of domain values as Correct, Invalid or Error and provide a replacement value for domain values with an Invalid or Error status.

Synonyms can also be defined in the Domain Values tab by selecting two or more values and selecting Set As Synonyms option from the right-click context menu or Set selected Domain Values As Synonyms icon from the Domain Values menu options. You can set one of the synonym values as the Leading value. The leading value is used by DQS to replace synonym values found in the data during cleansing and matching activities.

In the Term-Based Relations tab of the Domain Management activity window, you add corrections to a term that is part of a domain value. Term-based relations are created by building a list of Value/Correct To pairs. The Value is searched within a domain value and replaced with the Correct To value if a match is found. For example, you can add a term-based relation that replaces the term Inc. to Incorporated. In this case, the domain value Contoso, Inc. will be changed to Conto, Incorporated.

The SupplierName is considered a single domain as it only relies on itself to represent a data field. Composite domains, rely on two or more single domains to represent data in a field satisfactorily. For example, a Geography domain may require multiple single domains including a City, State and Country domains.

To create a composite domain, such as the Geography domain, the single domains need to
be created first, Once the single domains are created the composite domain can be defined by performing a Domain Management activity as describe in the following steps:





  • Click on the Create A Composite Domain icon from the Domain Management top menu bar
  • In the Create a Composite Domain window, type Geography in the Composite Domain Name field
  • Optionally, type a brief description in the Description field
  • Select the Country, State and City domains from the Domains List and click on the right arrow to move the domains to the Domains in Composite Domain list. Reorder if necessary and click OK













Comments

Post a Comment

Popular Posts

Install Master Data Services (MDS)

-
Image
The installation of Master Data Services consists of three steps as follows: 1. Install required Windows roles and features 2. Install Master Data Services from the SQL Server installation media 3. Configure Master Data Services from the MDS Configuration Manager Windows roles and features installation To install the Windows roles and features required for MDS, you can use Windows Server Manager  or through a PowerShell script. To start the Windows roles and features installation using  Windows Server Manager follow these steps: 1. Open Server Manager and click on Manage on the menu bar, then click Add Roles and  Features from the drop-down menu options to launch the Add Roles and Features  Wizard. 2. On the Select installation type window, select the “Role-based or feature-based installation”  option as shown and click Next. 3. On the Select destination server window, click the checkbox for the “Select a server  from the server pool” optio
Read more

Non-blocking, semi-blocking, and blocking transforms in SSIS

-
Not all Data Flow transforms are created equal. In fact, some are much faster and require a  lot less memory (non-blocking transforms). Others are slower while consuming much more  memory (blocking transforms), and some are in between (semi-blocking transforms). We don’t  always have a choice if we need to use a certain transform to do a certain specified task, but  it is good to know the differences between these types of transforms so that we can better  understand performance and resource utilization issues. Synchronous and asynchronous There is another related aspect about Data Flow transforms, which is their ability to quickly  process a row as they are coming into the transform, independently of any other rows that  came before or after (synchronous transforms). The other type of transform needs to be  dependent on some or all of the rows that come before and after (asynchronous transforms). On the whole, non-blocking transforms are also synchronous, thus are fast and
Read more

Design an appropriate storage solution, including hardware, disk, and file layout

-
Image
The data warehouse storage’s performance can be measured by  analyzing the time it takes for read and write operations to complete, known as latency , and by  analyzing how much data volume it can read or write in each time frame, known as throughput .  High latency and low throughput can be an indication of an improper selection for the  storage infrastructure or incorrect hardware and software configurations. Performance of a storage subsystem can  be estimated based on several criteria: Volume of data Rate of change and growth of the data Data retention policy Number of concurrent users Typical workloads expected Two important metrics associated with storage are throughput and Input/Output Per  Second (IOPS) . Throughput is a measure of the amount of data that can be transferred in a  period. This is typically measured in megabytes or gigabytes per second. IOPS is the number of  I/O read or write operations that can complete in a second.  It is important
Read more