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  • Book Overview & Buying SAP Data Services 4.x Cookbook
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SAP Data Services 4.x Cookbook

SAP Data Services 4.x Cookbook

By : Shomnikov
4 (1)
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SAP Data Services 4.x Cookbook

SAP Data Services 4.x Cookbook

4 (1)
By: Shomnikov
Buy this Book

Overview of this book

Want to cost effectively deliver trusted information to all of your crucial business functions? SAP Data Services delivers one enterprise-class solution for data integration, data quality, data profiling, and text data processing. It boosts productivity with a single solution for data quality and data integration. SAP Data Services also enables you to move, improve, govern, and unlock big data. This book will lead you through the SAP Data Services environment to efficiently develop ETL processes. To begin with, you’ll learn to install, configure, and prepare the ETL development environment. You will get familiarized with the concepts of developing ETL processes with SAP Data Services. Starting from smallest unit of work- the data flow, the chapters will lead you to the highest organizational unit—the Data Services job, revealing the advanced techniques of ETL design. You will learn to import XML files by creating and implementing real-time jobs. It will then guide you through the ETL development patterns that enable the most effective performance when extracting, transforming, and loading data. You will also find out how to create validation functions and transforms. Finally, the book will show you the benefits of data quality management with the help of another SAP solution—Information Steward.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Sections
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Conventions
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Reader feedback
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Customer support
Lock Free Chapter
1
1. Introduction to ETL Development
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1. Introduction to ETL Development
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Introduction
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Preparing a database environment
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Creating a source system database
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Defining and creating staging area structures
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Creating a target data warehouse
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2. Configuring the Data Services Environment
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2. Configuring the Data Services Environment
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Introduction
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Creating IPS and Data Services repositories
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Installing and configuring Information Platform Services
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Installing and configuring Data Services
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Configuring user access
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Starting and stopping services
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Administering tasks
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Understanding the Designer tool
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3. Data Services Basics – Data Types, Scripting Language, and Functions
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3. Data Services Basics – Data Types, Scripting Language, and Functions
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Introduction
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Creating variables and parameters
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Creating a script
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Using string functions
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Using date functions
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Using conversion functions
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Using database functions
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Using aggregate functions
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Using math functions
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Using miscellaneous functions
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Creating custom functions
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4. Dataflow – Extract, Transform, and Load
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4. Dataflow – Extract, Transform, and Load
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Introduction
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Creating a source data object
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Creating a target data object
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Loading data into a flat file
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Loading data from a flat file
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Loading data from table to table – lookups and joins
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Using the Map_Operation transform
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Using the Table_Comparison transform
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Exploring the Auto correct load option
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Splitting the flow of data with the Case transform
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Monitoring and analyzing dataflow execution
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5. Workflow – Controlling Execution Order
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5. Workflow – Controlling Execution Order
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Introduction
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Creating a workflow object
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Nesting workflows to control the execution order
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Using conditional and while loop objects to control the execution order
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Using the bypassing feature
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Controlling failures – try-catch objects
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Use case example – populating dimension tables
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6. Job – Building the ETL Architecture
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6. Job – Building the ETL Architecture
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Introduction
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Projects and jobs – organizing ETL
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Using object replication
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Migrating ETL code through the central repository
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Migrating ETL code with export/import
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Debugging job execution
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Monitoring job execution
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Building an external ETL audit and audit reporting
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Using built-in Data Services ETL audit and reporting functionality
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Auto Documentation in Data Services
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7. Validating and Cleansing Data
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7. Validating and Cleansing Data
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Introduction
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Creating validation functions
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Using validation functions with the Validation transform
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Reporting data validation results
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Using regular expression support to validate data
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Enabling dataflow audit
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Data Quality transforms – cleansing your data
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8. Optimizing ETL Performance
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8. Optimizing ETL Performance
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Introduction
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Optimizing dataflow execution – push-down techniques
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Optimizing dataflow execution – the SQL transform
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Optimizing dataflow execution – the Data_Transfer transform
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Optimizing dataflow readers – lookup methods
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Optimizing dataflow loaders – bulk-loading methods
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Optimizing dataflow execution – performance options
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9. Advanced Design Techniques
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9. Advanced Design Techniques
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Introduction
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Change Data Capture techniques
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Automatic job recovery in Data Services
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Simplifying ETL execution with system configurations
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Transforming data with the Pivot transform
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10. Developing Real-time Jobs
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10. Developing Real-time Jobs
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Introduction
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Working with nested structures
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The XML_Map transform
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The Hierarchy_Flattening transform
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Configuring Access Server
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Creating real-time jobs
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11. Working with SAP Applications
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Introduction
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Loading data into SAP ERP
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12. Introduction to Information Steward
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12. Introduction to Information Steward
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Introduction
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Exploring Data Insight capabilities
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Performing Metadata Management tasks
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Working with the Metapedia functionality
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Creating a custom cleansing package with Cleansing Package Builder
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Index
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Index

Creating a target data object

A target data object is the object to which we send the data within a dataflow. There are a few different types of target data objects, but the two main ones are tables and flat files. In this recipe, we will take a look at a target table object.

Note

Views imported into a datastore cannot be target objects within a dataflow. They can only be a source of data.

Getting ready

To prepare for this recipe, we need to create a table in our STAGE database. To do that, please connect to SQL Server Management Studio and create the Person table in the STAGE database using the following command:

CREATE TABLE dbo.Person
(
  FirstName varchar(50),
  LastName varchar(50),
  Age integer
);

This table will be used as a target table, which we will load data into by using Data Services. We will use the data stored in the Person table from the OLTP database as the source data to be loaded.

How to do it…

  1. Open the Data Services Designer application.
  2. In the DS_STAGE datastore, right...
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SAP Data Services 4.x Cookbook
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