Calculation Views are used to consume other Analytic, Attribute and other Calculation views and base column tables. These are used to perform complex calculations, which are not possible with other type of Views.

Characteristics of Calculation View

Below given are few characteristics of Calculation Views −

Calculation Views are used to consume Analytic, Attribute and other Calculation Views.
They are used to perform complex calculations, which are not possible with other Views.
There are two ways to create Calculation Views- SQL Editor or Graphical Editor.
Built-in Union, Join, Projection & Aggregation nodes.

How to create a Calculation View?

Choose the Package name under which you want to create a Calculation View. Right Click on Package → Go to New → Calculation View. When you click on Calculation View, New Window will open.

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Enter View name, Description and choose view type as Calculation View, Subtype Standard or Time (this is special kind of View which adds time dimension). You can use two types of Calculation View − Graphical and SQL Script.

Graphical Calculation Views

It has default nodes like aggregation, Projection, Join and Union. It is used to consume other Attribute, Analytic and other Calculation views.
SQL Script based Calculation Views
It is written in SQL scripts that are built on SQL commands or HANA defined functions.
Data Category
Cube, in this default node, is Aggregation. You can choose Star join with Cube dimension.

Dimension, in this default node is Projection.

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Calculation View with Star Join

It does not allow base column tables, Attribute Views or Analytic views to add at data foundation. All Dimension tables must be changed to Dimension Calculation views to use in Star Join. All Fact tables can be added and can use default nodes in Calculation View.
Example
The following example shows how we can use Calculation View with Star join −

You have four tables, two Dim tables, and two Fact tables. You have to find list of all employees with their Joining date, Emp Name, empId, Salary and Bonus.

Copy and paste the below script in SQL editor and execute.

Dim Tables − Empdim and Empdate
Create column table Empdim (empId nvarchar(3),Empname nvarchar(100));
Insert into Empdim values('AA1','John');
Insert into Empdim values('BB1','Anand');
Insert into Empdim values('CC1','Jason');
Create column table Empdate (caldate date, CALMONTH nvarchar(4) ,CALYEAR nvarchar(4));
Insert into Empdate values('20100101','04','2010');
Insert into Empdate values('20110101','05','2011');
Insert into Empdate values('20120101','06','2012');
Fact Tables − Empfact1, Empfact2
Create column table Empfact1 (empId nvarchar(3), Empdate date, Sal integer );
Insert into Empfact1 values('AA1','20100101',5000);
Insert into Empfact1 values('BB1','20110101',10000);
Insert into Empfact1 values('CC1','20120101',12000);
Create column table Empfact2 (empId nvarchar(3), deptName nvarchar(20), Bonus integer );
Insert into Empfact2 values ('AA1','SAP', 2000);
Insert into Empfact2 values ('BB1','Oracle', 2500);
Insert into Empfact2 values ('CC1','JAVA', 1500);

Now we have to implement Calculation View with Star Join. First change both Dim tables to Dimension Calculation View.

Create a Calculation View with Star Join. In Graphical pane, add 2 Projections for 2 Fact tables. Add both fact tables to both Projections and add attributes of these Projections to Output pane.

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Add a join from default node and join both the fact tables. Add parameters of Fact Join to output pane.

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In Star Join, add both- Dimension Calculation views and add Fact Join to Star Join as shown below. Choose parameters in Output pane and active the View.

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SAP HANA Calculation View − Star Join

Once view is activated successfully, right click on view name and click on Data Preview. Add attributes and measures to values and labels axis and do the analysis.

Benefits of using Star Join

It simplifies the design process. You need not to create Analytical views and Attribute Views and directly Fact tables can be used as Projections.

3NF is possible with Star Join.

Calculation View without Star Join

Create 2 Attribute Views on 2 Dim tables-Add output and activate both the views.

Create 2 Analytical Views on Fact Tables → Add both Attribute views and Fact1/Fact2 at Data Foundation in Analytic view.

Now Create a Calculation View → Dimension (Projection). Create Projections of both Analytical Views and Join them. Add attributes of this Join to output pane. Now Join to Projection and add output again.

Activate the view successful and go to Data preview for analysis.

So, this brings us to the end of blog. This Tecklearn ‘Calculation Views in SAP Hana’ blog helps you with commonly asked questions if you are looking out for a job in SAP Hana and SAP Domain. If you wish to learn SAP Hana and build a career in SAP domain, then check out our interactive, SAP HANA Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/sap-hana-training-certification/

SAP HANA Training

About the Course

SAP HANA is an in-memory computing application that is designed and developed to boost the business processes, deliver smart solutions, and simplify both hardware and software environments. Our Sap Hana Training course will help you understand and learn the fundamentals and will also felicitate on training hands-on for the better grasp on the course. Further, we have the highly qualified professionals who will train you about Sap Hana Studio, Modelling, Security features and its various other aspects. You will understand why SAP HANA is a fundamentally different database engine upon the completion of this SAP HANA course.

Why Should you take SAP HANA Training?

The average Sap Hana Consultant salary $165,750 per year or $85 per hour. (neuvoo.com).
SAP HANA is the highest growing technology; hence, there is no surprise in plenty of career opportunities in this field. Since it is one among the fastest-growing products in the history of SAP, it is considered by the industries as a ground-breaking key for in-memory databases.
SAP HANA currently has more than 6,500 customers globally.

What you will Learn in this Course?

Introduction to SAP HANA

Fundamentals of SAP HANA
Capabilities of SAP HANA
Limitations of SAP HANA

Key Features of SAP HANA

Key Features: High Performance functionalities In-Memory computing, Columnar store database, Data Compression and Massive Parallel Processing
Using SAP HANA for Non-SAP Applications

Architecture of SAP HANA

Detailed Architecture of SAP HANA Database
Concept of SAP HANA Landscapes and Scenarios

Overview of HANA Studio

SAP HANA System – Perspectives, Administration, Modelling, Development Plan
HANA Database SQL Basics and Database SQL Script
Types of statements and data types
Operators, expressions and basic query execution
Sub-queries, Types of Joins, Expressions and Loops
Catalog – Schema, Table, Views, Functions, Stored Procedures, Index, Synonyms, Sequences, Triggers

Data Provisioning

Data Provisioning with Flat File upload
Provisioning – SDA (Smart Data Access)
Joins Types in HANA

SAP HANA Modelling

Types of Models
Attribute Views, Joins and Using Filter Operations
Creating Restricted and Calculated Columns
Using Hierarchies
Analytic Views – Star Schema design and Multi-Dimensional Modelling
Variables and Input parameters

Calculation Views

Dimension Calculation View
Information View
SAP HANA Variables
Introduction to Input Parameters

SAP Project

Using HANA analytical view building of COPA (Controlling and Profitability Analysis) model
SAP HANA COPA for evaluation of market segments and classification of markets according to the products, customers or any combination of it

Dimension Calculation View

Dimension Calculation View – Star Join Calculation view
Using Projection, Join, Aggregation, Union and Rank

In-depth Modelling

Refactoring information models
Schema Mapping
Propagate to schematics and Show Lineage
Schema Mapping
Generating Time Data
Union Pruning
Using Time Travel
Migrating deprecated Information models
Using Currency Conversion
Web based Modelling Work bench

Analytic Privileges and Decision Tables

Classical Analytic Privileges
SQL Analytic Privileges
Dynamic analytic Privileges.
Turning Business Rules into Decision tables
Table Functions

SAP HANA Table Function

Query Optimizing Technique related to SAP HANA Tables
Web Based Modelling work bench

SAP HANA on Cloud

SAP Analytics with SAP Reporting environment SAP BOBJ – tools, WEBI, LUMIRA, DASHBOARD (integration between sap Hana and bob)

Advanced Topics Overview

SAP HANA Dynamic tiering
Delta Merge
SDI (Smart Data Integration)
SDA (Smart Data Access)

DATA Provisioning

SLT – SAP Landscape Transformation
BODS – Business Objects Data Services

Analytical Privileges

Classical XML Based Analytical Privileges
SQL Analytical Privileges

HANA Administration and Security

Hana Administration
Security in SAP HANA – User Management

Got a question for us? Please mention it in the comments section and we will get back to you.

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