DW & ETL
SAP BO Data Services
SAP BODS Repository
- SAP BODS - ETL Flow in DS Designer
- SAP BODS - DS Designer Introduction
- SAP BODS - DSMC Modules
- Data Services Management Console
- Repository Creating & Updating
- SAP BODS - Repository Overview
SAP BODS Datastores & Formats
- Data Extraction from Excel Workbook
- Extracting Data from DB Tables
- COBOL Copybook File Format
- SAP BODS - File Formats
- SAP BODS - Adapter Datastore
- SAP BODS - Linked Datastore
- SAP BODS - Memory Datastore
- SAP BODS - Changing a Datastore
- SAP BODS - Datastore Overview
Data Flow & Work Flow
- SAP BODS - Creating Workflows
- SAP BODS - Workflow Introduction
- BODS - Dataflow Changing Properties
- SAP BODS - Dataflow Introduction
SAP BODS Transforms
SAP BODS Administration
- SAP BODS - Tuning Techniques
- Data Assessment & Data Profiling
- Debugging & Recovery Mechanism
- Creating Embedded Dataflow
- SAP BODS - Data Services Overview
Multi-user Development
- Creating a Multi-user Environment
- BODS - Central Repository Security
- BODS - Central vs Local Repository
SAP BODS Useful Resources
- SAP BODS - Discussion
- SAP BODS - Useful Resources
- SAP BODS - Quick Guide
- SAP BODS - Questions Answers
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
SAP BODS - Dataflow Introduction
Data flow is used to extract, transform and load data from the source to the target system. All the transformations, loading and formatting occurs in dataflow.
Once you define a data flow in a project, this can be added to a workflow or an ETL job. Data flow can send or receive objects/information using parameters. Data flow is named in format DF_Name.
Example of Data Flow
Let us assume that you want to load a fact table in DW system with data from two tables in the source system.
Data Flow contains the following objects −
Two Source Table
Join between two tables and defined in Query transform
Target table
There are three types of objects that can be added to a Data flow. They are −
Source
Target
Transforms
Step 1 − Go to the Local Object Library and drag both the tables to work space.
Step 2 − To add a Query Transformation, drag from the right tool bar.
Step 3 − Join both the tables and create a template target table by right cpcking the Query box → Add New → New Template table.
Step 4 − Enter the name of the Target table, Data store name and Owner (Schema name) under which the table is to be created.
Step 5 − Drag the target table in front and join it to the Query transform.
Passing Parameters
You can also pass different parameters in and out of the data flow. While passing a parameter to a data flow, objects in data flow reference those parameters. Using parameters, you can pass different operations to a data flow.
Example − Suppose you have entered a parameter to a table about last updated. It allows you to extract only rows modified since the last update.
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