SAP HANA 2.0 Certification Guide

SAP HANA 2.0 Certification Guide
PDF
  • eBook:
    SAP HANA 2.0 Certification Guide: Application Associate Exam C_HANAIMP_15, 3rd Edition
  • Author:
    Rudi de Louw
  • Edition:
    3 edition
  • Categories:
  • Data:
    July 25, 2019
  • ISBN:
    1493218298
  • ISBN-13:
    9781493218295
  • Language:
    English
  • Pages:
    635 pages
  • Format:
    PDF

Book Description
What are the benefits and specifics of the product? Preparing for your SAP HANA 2.0 certification? With this guide, you'll get everything required to ace the SAP Certified Application Associate test for SAP HANA (C_HANAIMP_15)! Walk through the exam structure and master the key concepts you'll be tested on, from information models to security. With hundreds of questions and detailed answers to practice with, you'll be equipped with the tools you need!
*Learn about the SAP HANA certification test structure and how to prepare
*Review the key topics covered in each portion of the exam
*Test your knowledge with practice questions and answers

Core Content
Walk through the topics covered in the C_HANAIMP_15 exam: information modeling, calculation views, SQLScript, security, and more.

Q&A
Use in-depth questions and answers for each topic to test your knowledge and get a feel for what exam questions will look like.

SAP HANA 2.0
Understand the latest topics added to the test for SAP HANA 2.0, from core data services to expanded coverage of spatial, graph, and series data modeling.
*C_HANAIMP_15 exam
*Architecture
*SAP Web IDE for SAP HANA
*Core data services (CDS)
*Information modeling
*Calculation views
*SQL and SQLScript
*Predictive modeling
*Spatial, graph, and series data modeling
*Security

Content

1. SAP HANA Certification Track—Overview
2. SAP HANA Training
3. Technology, Architecture, and Deployment Scenarios
4. Modeling Tools, Management, and Administration
5. Information Modeling Concepts
6. Calculation Views
7. Modeling Functions
8. SQL and SQLScript
9. Data Provisioning
10. Text Processing and Predictive Modeling
11. Spatial, Graph, and Series Data Modeling
12. Optimization of InformationModels
13. Security
14. Virtual Data Models

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