Google translate tab query how to#

Let us now view the lineage of a more complex view. Name, Type, Description, Projected fields, Join conditions, etc). This is especially useful when dealing with complicated derived views, as we will explore later.īy clicking on a node, you can see the details of the corresponding data source or view (e.g. If we click on one of the fields under View fields, we will be able to see the lineage of a specific field. The lineage tab displays a tree graph with all the data sources and views used to build the current view. The next tab is the Relationships tab, which shows the associations created between views. This will save the query under the My Queries section.

If we would like to save this query for later use, we can click Save.

Our results include the newly created full_name field.

In the “New output field” dialog, click on the Edit button beside the Field name column and provide field name as full_name and Expression as concat(name,' ',surname).

In the Output columns section, click on three dots and then click on Add option.

The name with the surname following these steps: Let us consider the scenario where we want to combine the name and surname fields into a new full_name field. We can further manipulate the resulting set by using the Add feature! The results now are filtered to only include results for client_type = '02', and the results are ordered by the surname field. We also add the surname field to the Order By section for which we want to order the results by, and click the arrow to change the Order By to descending order. We will now need to add an expression, we can add = and '02'. Click the Definition bar to bring back the query options.īegin by dragging the field by which we want to filter, for example dragging field client_type to the Filters section. If we want to filter the results of the view, and order the results by price, we can easily do so. More options are available when querying a view Of course, the Data Catalog allows to export the results! You can select CSV, HTML, Excel or Tableau as output format by clicking the Export button. Here Ad-hoc queries can be run against the view (the query is created graphically).įor our view, select the following fields all and drag the fields into the Output columns area. We can also search for fields, data types and descriptions using the search option on top of each section. Clicking on the Edit button beside the column we can add the field description. Under the Schema Tab, we can see a schema of the view, with the view description, all the fields and types. In case, the view is deprecated, an indication will appear in the summary tab at the top.Īdditionally, the Summary tab includes buttons like Add Tags/Categories (more details in this section of the tutorial),Ĭollaboration options to customize the view further and also buttons like Connection URLs, Tableau to show different ways to connect to the view/datasource. It will show the metadata of the selected view such as the database name, the list of the categories, the list of the tags, collaboration information like Endorsement and Warnings provided by the user.Ĭlicking on the Edit button beside the Description option you will be able to edit the description of the view. Under the Summary Tab, we can see a summary of the selected view. We can now explore the contents of this view. This includes:įrom the previous section, we have selected our client view. We are now going to explore the features that offer more in depth interrogation of a view in the Data Catalog.

Google translate tab query how to#

Learn how to build queries graphically to get data

ML Algorithm Validation, Training and Persistence.

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Data Tagging And Exploration With Data Catalog.Handling metadata promotion between environments.How to develop a Virtual DataPort Custom Function.How users can utilize the Recommendations and Collaborate in Data Catalog.How to edit Data Catalog metadata: Tags & Categories.Search for data using Google-like queries.For Administrators only - Index data to enable Google-like user search queries.Learn how to build queries graphically to get data.Use Denodo Data Catalog for exploring the Denodo server metadata.How to invoke Denodo views using generic Endpoints (OData, GraphQL and RESTful).