• SAP BODS Tutorial

ETL Tools Compared in the Survey - Free download as Word Doc (.doc /.docx), PDF File (.pdf), Text File (.txt) or read online for free.

• DW & ETL

• SAP BO Data Services

• SAP BODS Repository

• SAP BODS Datastores & Formats

• Data Flow & Work Flow

• SAP BODS Transforms

• SAP BODS Administration

• Multi-user Development

• SAP BODS Useful Resources

• Selected Reading

ETL stands for Extract, Transform and Load. An ETL tool extracts the data from different RDBMS source systems, transforms the data like applying calculations, concatenate, etc. and then load the data to Data Warehouse system. The data is loaded in the DW system in the form of dimension and fact tables.

Extraction

• A staging area is required during ETL load. There are various reasons why staging area is required.

• The source systems are only available for specific period of time to extract data. This period of time is less than the total data-load time. Therefore, staging area allows you to extract the data from the source system and keeps it in the staging area before the time slot ends.

• Staging area is required when you want to get the data from multiple data sources together or if you want to join two or more systems together. For example, you will not be able to perform a SQL query joining two tables from two physically different databases.

• Data extractions’ time slot for different systems vary as per the time zone and operational hours.

• Data extracted from source systems can be used in multiple data warehouse system, Operation Data stores, etc.

• ETL allows you to perform complex transformations and requires extra area to store the data.

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Transform

In data transformation, you apply a set of functions on extracted data to load it into the target system. Data, which does not require any transformation is known as direct move or pass through data.

You can apply different transformations on extracted data from the source system. For example, you can perform customized calculations. If you want sum-of-sales revenue and this is not in database, you can apply the SUM formula during transformation and load the data.

For example, if you have the first name and the last name in a table in different columns, you can use concatenate before loading.

Load

During Load phase, data is loaded into the end-target system and it can be a flat file or a Data Warehouse system.

APPLIES TO: SQL Server SSIS Integration Runtime in Azure Data Factory Azure Synapse Analytics (SQL DW)

In this tutorial, you learn how to use SSIS Designer to create a simple Microsoft SQL Server Integration Services package. The package that you create takes data from a flat file, reformats the data, and then inserts the reformatted data into a fact table. In following lessons, the package is expanded to demonstrate looping, package configurations, logging, and error flow.

When you install the sample data that the tutorial uses, you also install the completed versions of the packages that you create in each lesson of the tutorial. By using the completed packages, you can skip ahead and begin the tutorial at a later lesson if you like. If this tutorial is your first time working with packages or the new development environment, we recommend that you begin with Lesson1.

What is SQL Server Integration Services (SSIS)?

MicrosoftSQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. SSIS includes graphical tools and wizards for building and debugging packages; tasks for performing workflow functions such as FTP operations, executing SQL statements, and sending e-mail messages; data sources and destinations for extracting and loading data; transformations for cleaning, aggregating, merging, and copying data; a management database, SSISDB, for administering package execution and storage; and application programming interfaces (APIs) for programming the Integration Services object model.

What You Learn

The best way to become acquainted with the new tools, controls, and features available in Microsoft SQL Server Integration Services is to use them. This tutorial walks you through SSIS Designer to create a simple ETL package that includes looping, configurations, error flow logic, and logging.

Prerequisites

This tutorial is intended for users familiar with fundamental database operations, but who have limited exposure to the new features available in SQL Server Integration Services.

To run this tutorial, you have to have the following components installed:

• SQL Server and Integration Services. To install SQL Server and SSIS, see Install Integration Services.

• The AdventureWorksDW2012 sample database. To download the AdventureWorksDW2012 database, download AdventureWorksDW2012.bak from AdventureWorks sample databases and restore the backup.

• The sample data files. The sample data is included with the SSIS lesson packages. To download the sample data and the lesson packages as a Zip file, see SQL Server Integration Services Tutorial Files.

  • Most of the files in the Zip file are read-only to prevent unintended changes. To write output to a file or to change it, you may have to turn off the read-only attribute in the file properties.
  • The sample packages assume that the data files are located in the folder C:Program FilesMicrosoft SQL Server100SamplesIntegration ServicesTutorialCreating a Simple ETL Package. If you unzip the download to another location, you may have to update the file path in multiple places in the sample packages.

Lessons in This Tutorial

Lesson 1: Create a Project and Basic Package with SSIS
In this lesson, you create a simple ETL package that extracts data from a single flat file, transforms the data using lookup transformations and finally loads the result into a fact table destination.

Lesson 2: Adding Looping with SSIS
In this lesson, you expand the package you created in Lesson 1 to take advantage of new looping features to extract multiple flat files into a single data flow process.

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Lesson 3: Add Logging with SSIS
In this lesson, you expand the package you created in Lesson 2 to take advantage of new logging features.

Lesson 4: Add Error Flow Redirection with SSIS
In this lesson, you expand the package you created in lesson 3 to take advantage of new error output configurations.

Lesson 5: Add SSIS Package Configurations for the Package Deployment Model
In this lesson, you expand the package you created in Lesson 4 to take advantage of new package configuration options.

Lesson 6: Using Parameters with the Project Deployment Model in SSIS
In this lesson, you expand the package you created in Lesson 5 to take advantage of using new parameters with the project deployment model.