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Understanding SAP HANA Modeling

Understanding SAP HANA Modeling

SAP HANA is one of the fastest emerging technologies, and therefore, there are plenty of career opportunities for someone with the skill. Being one of the fast-growing products in SAP’s history; the industries are considering SAP HANA as a pioneering approach for in-memory databases. Let’s dig more about SAP HANA Modeling and its career options for you.  

SAP HANA

SAP HANA (High-Performance Analytic Appliance) is an in-memory, column-oriented, relational database management system. SAP HANA combines database, data processing, and application platform capabilities in memory. The platform provides libraries for predictive, planning, text processing, spatial, and business analytics. SAP HANA is the most suitable platform for building and deploying next-generation, real-time applications and analytics. 

SAP HANA can make full use of the capabilities of current hardware to increase application performance, reduce the cost of ownership, and enable new scenarios and applications that were not previously possible. With SAP HANA, you can build applications that integrate the business control logic and the database layer with unprecedented performance. As a developer, one of the key questions is how you can minimize data movements. The more you can do directly on the data in memory next to the CPUs, the better the application will perform. This is the key to development on the SAP HANA data platform.

Intro to Modeling 

According to SAP, modeling refers to an activity of refining or slicing data in database tables by creating views to depict a business scenario. The views can be used for reporting and decision-making.

The modeling process involves the simulation of entities, such as customer, product, and sales, and the relationships between them. These related entities can be used in analytics applications such as SAP BusinessObjects Explorer and Microsoft Office. In SAP HANA, these views are known as information views.

Information views use various combinations of content data (that is, non-meta data) to model a business use case. Content data can be classified as follows:

· Attribute: Descriptive data, such as customer ID, city, and country.

· Measure: Quantifiable data, such as revenue, quantity sold, and counters.

You can model entities in SAP HANA using the Modeler perspective, which includes graphical data modeling tools that allow you to create and edit data models (content models) and stored procedures. With these tools, you can also create analytic privileges that govern the access to the models, and decision tables to model-related business rules in a tabular format for decision automation.

Career Options

HANA remains one of the best solutions that provide profitable income to the businesses securing career growth in the SAP HANA for an inspiring and thriving spot. Below are several career options for someone with the skill. 

  • SAP HANA Consultant
  • SAP Business Analyst  
  • SAP Consultant
  • Functional Business Analyst
  • HANA Modeling Developer

If anyone wants to specialize in those roles, they are required to have SAP HANA Modeling skills, to begin with. The candidate should also have knowledge of BW on SAP HANA, while the roadmap of HANA modeler learning includes the associates as well as professional certification which will advance your career.

Join our online SAP HANA Modeling course in the new year! Learn all the essential skills in the course and be proficient in 70+ hours. The course starts January 4th so email us today at [email protected] to register!

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