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Spatial_reference.md

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Exercise 2.5 - Spatial Reference

In this exercise we will build a dimension view with Spatial Reference and associate it with E_mobility-Teched view built in exercise 4.

At the conclusion of this exercise your Graphical View will look similar to the image below

Click on Close button to go back to the DataBuilder

Click on the New Graphical View option in the Data Builder.

To import the data from 'Hana Cloud' navigate to the Sources tab and find the TechEd_HC connection under the Connections. Under TechEd_HC Connection drill down on ANA160

Under ANA160 drill down on Views and select EMOBILITY_LIVE_CHARGE_STATUS(table) Drag and drop the table in to Canvas

(Drill down flow Connections -> TechEd_HC -> ANA160-> Views-> EMOBILITY_LIVE_CHARGE_STATUS)

Click on Import and Deploy

Click on Output View

Change Semantic Usage from "Relational Dataset" to "Dimension".

Click on the "EMOBILITY_LIVE_CHARGE_STATUS" view to open the context menu

Click on 'fx'(Calculated Columns).

Click on the + icon and select Geo-Coordinates Column

Select Latitude as LAT

Select Longitude as LONG

Click on Output View

And change the Business Name as E_mobility_location

Technical Name as Location

Set the Expose for Consumption to 'ON'

Click on Save, again on Save and then Deploy.

See that Dimension View has been Deployed

From the context menu of E_mobility_location select Preview to see the data.

Click on Close button and Go to DataBuilder

Click on the view E_mobility-Teched

Scroll down to add the Associations.

Click on the + icon to select the Association.

Click on Association

Search for View (Dimension) E_mobility_location

Select that View and click on "OK"

See the Mappings between both the Views.

Click on

We can see the associations in the E_mobility-Teched view

From the context menu of E_mobility-Teched select Preview data to see the data.

Click on Deploy to update the changes.

Congratulations on completing all SAP DataWarehouse Cloud related exercises.

In the next section we would be consuming the view in SAP Analytics Cloud to analyse and get insights from data.

Exercise 3 Building dashboards with SAP Analytics Cloud