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HA350 Data Provisioning . . COURSE OUTLINE . Course Version: 12 Course Duration: 3 Day(s)

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Page 1: HA350 - SAP

HA350Data Provisioning

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COURSE OUTLINE.

Course Version: 12Course Duration: 3 Day(s)

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SAP Copyrights and Trademarks

© 2016 SAP SE or an SAP affiliate company. All rights reserved.

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SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see http://global12.sap.com/corporate-en/legal/copyright/index.epx for additional trademark information and notices.

Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors.

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These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty.

In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

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Typographic Conventions

American English is the standard used in this handbook.

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© Copyright. All rights reserved. iii

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Contents

vii Course Overview

1 Unit 1: SAP HANA and Methods of Data Provisioning

1 Lesson: SAP HANA – A Short Introduction1 Lesson: Describing Methods of Data Provisioning

3 Unit 2: SAP LT - SAP Landscape Transformation

3 Lesson: Explaining Positioning and Key Concepts3 Lesson: Describing the Configuration of the SAP Landscape

TransformationReplication Server3 Lesson: Describing Data Replication3 Lesson: Describing the Transformation Possibilities with SLT

5 Unit 3: SAP Data Services

5 Lesson: Describing SAP Data Services and SAP HANA

7 Unit 4: Smart Data Access (SDA)

7 Lesson: Describing Smart Data Access

9 Unit 5: SAP HANA Enterprise Information Management (EIM)

9 Lesson: Describing SAP HANA Enterprise Information Management and its Components

11 Unit 6: Smart Data Streaming

11 Lesson: Explaining Smart Data Streaming

13 Unit 7: SAP HANA Direct Extractor Connection (DXC)

13 Lesson: Exploring Direct Extractor Connection (DXC)

15 Unit 8: Uploading Data from a Flat File

15 Lesson: Loading Flat File Data into SAP HANA

17 Unit 9: Remote Data Sync

17 Lesson: Discovering Remote Data Sync

19 Unit 10: Optional Unit; SAP Replication Server (SRS)

19 Lesson: SAP Replication Server

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Course Overview

TARGET AUDIENCEThis course is intended for the following audiences:

● Developer

● Enterprise Architect

● System Administrator

● System Architect

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viii © Copyright. All rights reserved.

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UNIT 1 SAP HANA and Methods of Data Provisioning

Lesson 1: SAP HANA – A Short IntroductionLesson ObjectivesAfter completing this lesson, you will be able to:

● Understand the basic concepts and capabilities of SAP HANA

Lesson 2: Describing Methods of Data ProvisioningLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the acronym ETL

● State which methods of data provisioning can be used for SAP HANA

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Unit 1: SAP HANA and Methods of Data Provisioning

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UNIT 2 SAP LT - SAP Landscape Transformation

Lesson 1: Explaining Positioning and Key ConceptsLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the positioning of SAP LT Replication Server

● Describe the key concepts and features

Lesson 2: Describing the Configuration of the SAP Landscape TransformationReplication ServerLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe the key steps to create a configuration

Lesson 3: Describing Data ReplicationLesson ObjectivesAfter completing this lesson, you will be able to:

● Replicate data to SAP HANA using SLT

Lesson 4: Describing the Transformation Possibilities with SLTLesson ObjectivesAfter completing this lesson, you will be able to:

● Overview of transformation possibilities with SLT

● Explain the basics of the SLT based transformation concepts

● Know which types of transformation rules exist

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Unit 2: SAP LT - SAP Landscape Transformation

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UNIT 3 SAP Data Services

Lesson 1: Describing SAP Data Services and SAP HANALesson ObjectivesAfter completing this lesson, you will be able to:

● Explain Data Services capabilities with SAP HANA

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Unit 3: SAP Data Services

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UNIT 4 Smart Data Access (SDA)

Lesson 1: Describing Smart Data AccessLesson ObjectivesAfter completing this lesson, you will be able to:

● Understand the Smart Data Access concepts

● Know when to use Smart Data Access

● Know how to implement Smart Data Access

● Build data models using virtual tables.

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Unit 4: Smart Data Access (SDA)

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UNIT 5 SAP HANA Enterprise Information Management (EIM)

Lesson 1: Describing SAP HANA Enterprise Information Management and its ComponentsLesson ObjectivesAfter completing this lesson, you will be able to:

● Understand SAP HANA smart data integration (SDI)

● Understand SAP HANA smart data quality (SDQ)

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Unit 5: SAP HANA Enterprise Information Management (EIM)

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UNIT 6 Smart Data Streaming

Lesson 1: Explaining Smart Data StreamingLesson ObjectivesAfter completing this lesson, you will be able to:

● Understand SAP HANA smart data streaming.

● Know where to use Smart Data Streaming.

● Understand the value of Smart Data Streaming in certain use cases.

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Unit 6: Smart Data Streaming

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UNIT 7 SAP HANA Direct Extractor Connection (DXC)

Lesson 1: Exploring Direct Extractor Connection (DXC)Lesson ObjectivesAfter completing this lesson, you will be able to:

● Describe data provisioning to SAP HANA using Direct Extractor Connection (DXC).

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Unit 7: SAP HANA Direct Extractor Connection (DXC)

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UNIT 8 Uploading Data from a Flat File

Lesson 1: Loading Flat File Data into SAP HANALesson ObjectivesAfter completing this lesson, you will be able to:

● Understand when to use Flat File data load functionality

● How to load data from Flat Files into the SAP HANA Database

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Unit 8: Uploading Data from a Flat File

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UNIT 9 Remote Data Sync

Lesson 1: Discovering Remote Data SyncLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe Remote Data Sync

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Unit 9: Remote Data Sync

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UNIT 10 Optional Unit; SAP Replication Server (SRS)

Lesson 1: SAP Replication ServerLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the key benefits of SAP Replication Server

● List the supported primary and replicate RDBMS

● Describe the architecture of SAP Replication Server

● Understand how to connect SAP Replication Server with an SAP HANA system

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