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Data Modeling for SAP HANA 2.0 (Hardcover)

By Anil Bavaraju
MRP: Rs.6,719.00 You save: Rs.1,679.75 (25%)
Net Price: Rs.5,039.25
Price in points: 5040 points
Reward points: 50 points
9781493217519
In stock
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Find meaning in your business data. Build, manage, and secure calculation views and table functions with the SAP Web IDE for SAP HANA. See how SAP Web IDE, SAP HANA Live, and SAP S/4HANA embedded analytics all interact to create effective data models. Explore advanced modeling concepts compatible with SAP HANA 2.0, like predictive modeling and geospatial analysis. Begin designing the perfect model today!

  • Learn how to model data in SAP HANA 2.0 with the SAP Web IDE
  • Build calculations views and table functions, manage models, and more
  • Explore advanced concepts like predictive modeling and SAP HANA spatial analysis
  • In this book, you'll learn about:

    1. Getting Started
      Understand the general modeling concepts you need to build effective data models. Get comfortable with the SAP Web IDE, model components, and dimensional schemas.
    2. Build, Manage, Secure
      Get step-by-step instructions to create table functions and calculation views, and learn how to manage models in the SAP Web IDE.. Then, tackle the SAP HANA security concepts you need to lock down your data models.
    3. Advanced Topics
      See how SAP HANA Live and SAP S/4HANA embedded analytics factor in to your models, through virtual data models and core data service views. Then explore advanced features, including predictive models, spatial analysis, and more.

    Highlights include:

    • SAP HANA 2.0
    • Data Modeling
    • SAP Web IDE
    • Information views
    • Calculation views
    • Table functions
    • Model management
    • Model migration
    • SAP HANA Live
    • SAP S/4HANA embedded analytics
    • Security and authorizations
Author:
Anil Bavaraju
Binding:
Hardcover
Condition Type:
New
Country Origin:
USA
Edition :
1st
Leadtime to ship in days (default):
Usually ships in 2 days
Page:
475
Publisher:
SAP Press
Year:
2019

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