data services - platform and transforms - sap

DS10Data Services - Platform and Transforms

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COURSE OUTLINE.

Course Version: 15Course Duration: 3 Day(s)

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© Copyright. All rights reserved. iii

Contents

vii Course Overview

1 Unit 1: Data Services

1 Lesson: Defining Data Services

3 Unit 2: Source and Target Metadata

3 Lesson: Defining Datastores in Data Services3 Lesson: Defining a Data Services Flat File Format

5 Unit 3: Batch Job Creation

5 Lesson: Creating Batch Jobs

7 Unit 4: Batch Job Troubleshooting

7 Lesson: Writing Comments with Descriptions and Annotations7 Lesson: Validating and Tracing Jobs7 Lesson: Debugging Data Flows7 Lesson: Auditing Data Flows

9 Unit 5: Functions, Scripts, and Variables

9 Lesson: Using Built-In Functions9 Lesson: Using Variables, Parameters, and Scripts

11 Unit 6: Platform Transforms

11 Lesson: Using Platform Transforms11 Lesson: Using the Map Operation Transform11 Lesson: Using the Validation Transform11 Lesson: Using the Merge Transform11 Lesson: Using the Case Transform11 Lesson: Using the SQL Transform

13 Unit 7: Error Handling

13 Lesson: Setting Up Error Handling

15 Unit 8: Changes in Data

15 Lesson: Capturing Changes in Data15 Lesson: Using Source-Based Change Data Capture (CDC)15 Lesson: Using Target-Based Change Data Capture (CDC)

© Copyright. All rights reserved. v

17 Unit 9: Data Services Integrator Transforms

17 Lesson: Using Data Services Integrator Transforms17 Lesson: Using the Pivot Transform17 Lesson: Using the Data Transfer Transform

vi © Copyright. All rights reserved.

Course Overview

TARGET AUDIENCEThis course is intended for the following audiences:

● Data Consultant/Manager

● Solution Architect

● Super / Key / Power User

© Copyright. All rights reserved. vii

UNIT 1 Data Services

Lesson 1: Defining Data ServicesLesson ObjectivesAfter completing this lesson, you will be able to:

● Define Data Services

© Copyright. All rights reserved. 1

Unit 1: Data Services

2 © Copyright. All rights reserved.

UNIT 2 Source and Target Metadata

Lesson 1: Defining Datastores in Data ServicesLesson ObjectivesAfter completing this lesson, you will be able to:

● Define datastore types

Lesson 2: Defining a Data Services Flat File FormatLesson ObjectivesAfter completing this lesson, you will be able to:

● Define flat file formats


Unit 2: Source and Target Metadata


UNIT 3 Batch Job Creation

Lesson 1: Creating Batch JobsLesson ObjectivesAfter completing this lesson, you will be able to:

● Examine batch jobs

● Create a basic data flow


Unit 3: Batch Job Creation


UNIT 4 Batch Job Troubleshooting

Lesson 1: Writing Comments with Descriptions and AnnotationsLesson ObjectivesAfter completing this lesson, you will be able to:

● Write comments with descriptions and annotations

Lesson 2: Validating and Tracing JobsLesson ObjectivesAfter completing this lesson, you will be able to:

● Validate jobs

● Trace jobs

Lesson 3: Debugging Data FlowsLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the interactive debugger

Lesson 4: Auditing Data FlowsLesson ObjectivesAfter completing this lesson, you will be able to:

● Audit data flows


Unit 4: Batch Job Troubleshooting


UNIT 5 Functions, Scripts, and Variables

Lesson 1: Using Built-In FunctionsLesson ObjectivesAfter completing this lesson, you will be able to:

● Use functions in expressions

Lesson 2: Using Variables, Parameters, and ScriptsLesson ObjectivesAfter completing this lesson, you will be able to:

● Use variables, parameters, and scripts


Unit 5: Functions, Scripts, and Variables


UNIT 6 Platform Transforms

Lesson 1: Using Platform TransformsLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe platform transforms

Lesson 2: Using the Map Operation TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the Map Operation transform in a data flow

Lesson 3: Using the Validation TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the validation transform

Lesson 4: Using the Merge TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the merge transform

Lesson 5: Using the Case TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the case transform

Lesson 6: Using the SQL TransformLesson Objectives


After completing this lesson, you will be able to:

● Use the SQL transform

Unit 6: Platform Transforms


UNIT 7 Error Handling

Lesson 1: Setting Up Error HandlingLesson ObjectivesAfter completing this lesson, you will be able to:

● Explain the levels of data recovery strategies


Unit 7: Error Handling


UNIT 8 Changes in Data

Lesson 1: Capturing Changes in DataLesson ObjectivesAfter completing this lesson, you will be able to:

● Update data which changes slowly over time

Lesson 2: Using Source-Based Change Data Capture (CDC)Lesson ObjectivesAfter completing this lesson, you will be able to:

● Use source-based change data capture (CDC)

Lesson 3: Using Target-Based Change Data Capture (CDC)Lesson ObjectivesAfter completing this lesson, you will be able to:

● Use target-based CDC


Unit 8: Changes in Data


UNIT 9 Data Services Integrator Transforms

Lesson 1: Using Data Services Integrator TransformsLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the data services integrator transforms

Lesson 2: Using the Pivot TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Use the pivot transform

Lesson 3: Using the Data Transfer TransformLesson ObjectivesAfter completing this lesson, you will be able to:

● Describe performance optimization


data services - platform and transforms - sap

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