In this section We will explore the features of the Data Catalog metadata. With this feature you can use Denodo Data Catalog to add tags
and
categories
to views, as well as update the view and field descriptions.
In our example we are going to: (1) add descriptions to the client fields, to allow more specific discovery of this view, (2) add tags and categories
and (3) apply them to our client
view.
A useful feature of the Data Catalog is the ability to display view metadata, such as the View Description, as well as the Field Descriptions. Let's see how to modufy that information.
Summary
page of the Client View and click Edit
option beside Description.Ok
.
Schema
tab and click on the Edit
option under each field.Administration > Sync with VDP
.
Please note that you can synchronize the Virtual DataPort server metadata changes in Data Catalog but the Tags & Categories created in Data Catalog cannot be synchronized with the Virtual DataPort Server.
Tags & Categories are useful to allow users to search with more accuracy through the Data Catalog. While the amount of Data Sources and Views is small in our tutorial, it will pay off over the long term to maintain good Categorization and Tagging habits to allow users to navigate the Data Catalog more easily.
Administration > Set-up and Management
.
Catalog Management
, click on Categories
option
+ Add Category
icon.
We now have a useful set of categories to link to our Views.
Administration > Set-up and Management
.
Catalog Management
, click on the Tags
option.+ Add Tag
icon and create a new Tag with the following details:
We now have a useful set of tags to link to our Views.
Client
view and click on the Add Category
button in the Summary
tab.
CRM
and then click Ok
.
Add Tag
button in the Summary
tab and select JDBC
. Click Ok
.
Customer > CRM
category and have tagged it with the JDBC
tag.Browse > Tag.
JDBC
to see the elements that have been assigned with this selected tag.
Browse > Category.
Customer > CRM
to explore its subcategories.
CRM
to explore its views and webservices.
We have now seen how the effective use of the Descriptions, Categories and Tags can enable powerful data exploration.
In the next section, we will explore about Recommendations and Collaborate options in Data Catalog