The course will introduce the renewed concepts and possibilities when SAP BW is powered by SAP HANA. We’ll introduce the major guiding points and semantics of a data warehouse and demonstrate them in a business scenario, directly in the system. You will learn and experience the latest developments, with SAP BW 7.4 powered by SAP HANA, as well as opportunities for real-time data integration and agile data modelling. We will demonstrate what it means to consume the data via a data warehouse and show you how SAP HANA helps to speed up data analysis. We’ll also introduce the planning capabilities based on SAP BW, which is a unique combination of reporting and planning on the same platform.
自学
语言: English

课程信息

Course Summary

SAP Business Warehouse (BW) continues to serve as a powerful data warehouse to consolidate data, harmonize master data and provide flexible reporting scenarios. Introducing SAP HANA as database underneath SAP BW was a major breakthrough in various core areas for data warehousing. With the combination of a rich data warehousing application and a fast in-memory database, we’ve seen architectural simplification, performance improvements and new modelling experiences.

The course will introduce the renewed concepts and possibilities when SAP BW is powered by SAP HANA. We’ll introduce the major guiding points and semantics of a data warehouse and demonstrate them in a business scenario, directly in the system. You will learn and experience the latest developments, with SAP BW 7.4 powered by SAP HANA, as well as opportunities for real-time data integration and agile data modelling. We will demonstrate what it means to consume the data via a data warehouse and show you how SAP HANA helps to speed up data analysis. We’ll also introduce the planning capabilities based on SAP BW, which is a unique combination of reporting and planning on the same platform.

The registration, learning content, final exam, and the Record of Achievement are free of charge.

Course Characteristics

  • Starting from: November 13, 2014, 09:00 UTC
  • Duration: 4 weeks (4 - 6 hours per week)
  • Final exam: December 11 - 18, 2014
  • Course language: English
  • How is an openSAP course structured?

Target Audience

  • Consultants
  • Implementation experts
  • Architects
  • Developers

Course Requirements

  • A basic understanding of data warehousing
  • It is preferable to have pre-basic SAP BW knowledge.
  • You should have already walked through the openSAP course ABAP Development for SAP HANA, since some concepts will be shared and further developed.

Development Systems

Demonstrations shown in course are based on:

  • SAP HANA 1.0 SPS8
  • SAP BW 7.4 SP8
  • SAP BI 4.1

You will have the opportunity to create your own free SAP HANA cloud instance for 30 days (not for production usage). This will be available on the SAP HANA Marketplace http://scn.sap.com/docs/DOC-41566 (AS ABAP incl. BW 7.4 SP 8 on SAP HANA 1.0 SP8). There will also be an additional offering which uses Amazon Web Services and is charged on an hourly basis. The course consists of an SAP BW powered by SAP HANA and an SAP BusinessObjects installation.

course image © NielsDK/imagebroker/Corbis

课程内容

  • Week 1:

    SAP BW powered by SAP HANA – Intro
  • Week 2:

    Data Integration & Management
  • Week 3:

    Data Consumption & Analysis
  • Week 4:

    Planning & Lifecycle Management
  • I Like, I Wish:

    We Love Your Feedback … And Want More
  • Final Exam:

    Good Luck!

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该课程是免费的。 只需在openSAP上注册一个帐户并参加课程!
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该课程自11月13日 到 12月18日 开设.

该课程开课时已注册学员数为8982.

课程考试结束时,该数据增至14101.

当前已注册学员数为24627.

证书要求

  • 课程证书 授予者需要至少取得课程总分的百分之 50%
  • 参与证明 授予者需要至少学习了所有课程资料的百分之 50%

欲知详情,请访问证书指南.

该课程提供者

Ulrich Christ

Ulrich Christ is a product manager for SAP HANA, focusing on data warehousing. He is also a senior expert in data warehousing with SAP Business Warehouse (SAP BW) and SAP HANA.

Before joining the Product Management team, Ulrich worked as an architect in BW development.

Marc Hartz

Marc Hartz is a lead product manager for SAP’s Big Data portfolio. He was a data warehousing consultant and product manager for over 10 years and is now fostering a proper Big Data adoption in the enterprise landscape.

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