Measures are defined in Analytic and Calculation Views. They are similar to Key Figures in SAP BW. Data that can be quantified and calculated are called measures. Measures are simple measurable analytical elements. We will learn about private attributes later when we will design Analytic Views. In this case, MATERIAL_ID could be used only for modeling data for ANV_SALES. For example, we create an analytic view ANV_SALES to analyze the sales of materials, and select MATERIAL_ID as a private attribute from the database table SALES_ITEM.
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Private attributes of Fact tables are used to link to the subject area or dimensions i.e. Private attributes add more information to the data model.
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Private Attributes are used to model Analytic Views and cannot be used outside the view.
#SAP HANA STUDIO DERIVED REGISTRATION#
For example, extracting the year part from the customer registration date, assigning a constant value to an attribute which can be used for arithmetic calculations. The attribute is based on static value or dynamic calculation. Calculated Attributes are derived from one or more existing attributes or constants.For example, MATERIAL_ID and MATERIAL_NAME are attributes of a MATERIAL subject area. Simple Attributes are individual non-measurable analytical elements that are derived from the data foundation.There are three types of Attributes in Information Modeling: These are qualitative descriptive data similar to Characteristics of SAP BW. AttributesĪttributes are individual non-measurable analytical elements. These content data models are basically the combination of Attributes and Measures. We can Choose to publish and consume SAP HANA tables data at four levels of modeling using SAP HANA Studio Information Modeler Perspective.They are Attribute View, Analytic View, Calculation View and Analytic Privilege. Also the data storage type of a table can be modified from Row to Column storage with the SQL command " ALTER TABLE Table_Name COLUMN ". The SQL command to create column table: " CREATE COLUMN TABLE Table_Name. Data Services also creates target tables in column store as default for SAP HANA database. SQLScript is a HANA-specific language built on SQL (custom pre-defined functions, etc.), and can be used to create calculation views.įor simplicity, in the upcoming set of tutorials, we will only be developing in the graphical environment.For that reason Replication Server creates SAP HANA tables in column store by default. The SAP HANA Modeler Perspective provides a graphical environment to create all types of information views without the need for SQL or SQLScript. These calculation views can be either graphical or scripted, depending on how they are created in HANA Studio. Calculation views are processed by the SAP HANA Calculation Engine. Among other tools, they provide Union, Join, Projection and Aggregation nodes, which are used to combine and aggregate other information views. Calculation views, as their name suggests, are capable of performing complete calculations which are not possible with other views.
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If the view does have derived/calculated columns, it is processed by the SAP HANA Calculation Engine.Ĭalculation Views Calculation views can be a combination of analytical views, attribute views, calculation views, and tables. Analytic views without derived/calculated columns are queried by the SAP HANA OLAP Engine. Analytic views can use SAP HANA’s computational power to aggregate mass data, and can be further used by calculation views. They are fact tables surrounded by attribute views, resembling a star schema. These views are queried by the SAP HANA Join Engine.Īnalytic Views Analytic views define relationships between attributes and measures, and also perform aggregations on measures. THey model the attributes of the master data, and can be further used in both analytic and calculation views. Measures are quantifiable data, including profits, revenue, units sold etc.Īttribute Views Attribute views are created using attributes as dimensions.
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This can include ID, Product Category, Country, etc. Information views have column data which can be generally lumped into 2 categories, which will help define the differences between the types of views listed above:Īttributes are categories involving non-measurable descriptive data. Information views can be categorized into 3 types: Information views, or information modeling, is used by SAP HANA to create meaningful reports and provide decision making for various scenarios using database tables.