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● Attributes can be defined as key attribute and used when joining multiple tables.
● The Drill Down Enabled property can be used to indicate if an attribute is available for further drill down when
consumed.
● Aggregation type on measures
● Currency and Unit of Measure parameters (you can set the Measure Type property of a measure, and also in
Calculated Column creation dialog, associate a measure with currency and unit of measure)
6.2.5 Creating Analytic Views
Analytic views are typically defined on a fact table that contains transactional data (as measures). Using analytic
views you can create a selection of measures, add attributes and join attribute views.
Analytic views leverage the computing power of SAP HANA to calculate aggregate data, e. g. the number of sold
cars per country, or the maximum power consumption per day. They are defined on only one fact table, a table
which contains for example, one row per sold car or one row per power meter reading, or some form of business
transaction records. Fact tables can be joined to allow access to more detailed data using a single analytic view as
long as the facts (measures) come from a single table. Analytic views can be defined in a single table, or in joined
tables.
Analytic views can contain two types of columns, attributes and measures, for which measures are of type simple,
calculated, and restricted. Measures are attributes for which an aggregation must be defined. If analytic views are
used in SQL statements then the measures have to be aggregated e. g. using the SQL functions SUM(), MIN(), or MAX(). Normal columns can be handled as regular attributes.
They do not need to be aggregated.
1. Set Parameters
a) In the Modeler perspective, expand the Content node of the required system.
b) Select the package in which you want to save your information object.
c) From the context menu of the package, choose New Analytic View .
Note: Once you have an analytic view in a package, you can also create another one from the
context menu of the Analytic View node in the respective package.
d) Enter a name and description for the view.
e) If you want to create a view based on the existing one, choose Copy From option, and select the required
view.
f) Choose Finish.
The analytic view editor opens. The Scenario panel of the editor consist of the following three nodes:
○ Data Foundation - represents the tables used for defining the fact table of the view.
○ Logical Join - represents the relationship between the selected table fields (fact table) and attribute views
that is, used to create the star schema.
○ Semantics - represents the output structure of the view.
In the Details panel you define the relationship between data sources and output elements.
2. Define Output Structure
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a) Add the tables that you want to use in any of the following ways:
○ Drag the required tables present in the Catalog to the Data Foundation node.
P U B L I C
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SAP HANA Developer Guide
Setting Up the Analytic Model