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There are many strategies to prepare for certification exam as well as different information resources and courses. There is no one fit all recommendation. In my blog I will share what worked for me.
My strategy to prepare for C_HANAIMP_11 certification exam was to use official SAP information resources and independent study. I had previous project experience with SAP HANA and just needed to know better exam structure in order to cover knowledge gaps. I used SAP HANA Certification Guide SAP Press book for that.
Everyone who is preparing for certification exam wants see sample questions. The book contains something similar – practice questions after each chapter. These question will not be found on certification exam, but will help you to check your knowledge on specific exam topic. These questions will also give you an idea how to read the book / documentation and identify information that is a good candidate for certification exam questions.
I need also to mention that the book is not a cheap alternative for HA100 and HA300 SAP training courses. SAP HANA Certification Guide does not explain all the basics as well does not have so many detailed exercises as SAP training courses. If you are new to HANA Modeling then SAP training courses are definitely the better option.
Another valuable resource is SHINE demo package (delivered with SAP Cloud Application Library HANA trial system). It has a lot of development objects for you to explore. You can learn re-creating and enhancing then or come up with something completely new using SHINE data.
Here is a complete list of resources that I used:
SAP HANA Certification Guide SAP Press Book
SAP Cloud Application Library SAP HANA, developer edition 1.0 SPS 11 free trial
SHINE Demo Package (installed on free trial system)
SAP HANA Modeling Guide For SAP HANA Studio SAP Help Portal
SAP HANA Developer Quick Start Guide SAP Help Portal
SAP HANA Developer Guide For SAP HANA Studio SAP Help Portal
SAP HANA SQLScript Reference SAP Help Portal
SAP HANA Spatial Reference SAP Help Portal
Software Development on SAP HANA (Delta SPS 09) OpenSAP Course
Software Development on SAP HANA (Delta SPS 11) OpenSAP Course
BI Clients and Applications on SAP HANA OpenSAP Course
Text Analytics with SAP HANA Platform OpenSAP Course
SAP IT Operations Analytics 2.2
SAP IT Operations Analytics (SAP ITOA) is an Analytics offering that allows IT to have an holistic view of their data center. Traditionally, different areas of a data center have been managed by different groups with different tools, making root-cause analysis challenging and increasing mean time to resolution. With SAP ITOA you can do comprehensive analysis in real time.
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SAP Solution Manager 7.2 Demo System with S/4HANA
SAP Solution Manager 7.2 supports the “business of IT” with four key value chains: - Portfolio to Project (P2P) to drive the portfolio of projects and balance business initiatives and their business value against IT capacity, skills and timelines. • Requirement to Deploy (R2D) to build what the business needs • Request to Fulfill (R2F) to catalog, request and fulfill services. • Detect to Correct (D2C) to anticipate and resolve production problems
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SAP Solution Manager 7.2 SPS03 for the Design and Build in Your S/4HANA Planning Phase
SAP Solution Manager is the central lifecycle management hub for SAP systems and SAP solutions: on premise, or in the cloud. It accelerates innovation, manages application lifecycles, and runs solutions, end-to-end, on ONE integrated business and IT platform.
Introduction to Modeling
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, nonmetadata) 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.
You can create the following types of information views:
Attribute Views
Analytic Views
Calculation Views
Who should read this guide
This guide is intended for a modeler, who is also known as a business analyst, data analyst or database expert, concerned with the definition of the model and schemas that will be used in SAP HANA, the specification and definition of tables, views, primary keys, indexes, partitions, and other aspects of the layout and interrelationship of the data in SAP HANA.
The data modeler is also concerned with designing and defining authorization and access control, through the specification of privileges, roles, and users.
The modeler uses the Administration Console and Modeler perspectives and tools of the SAP HANA studio.
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