
- SAP BODS Tutorial
- SAP BODS - Home
- SAP BO Data Services
- SAP BODS - Overview
- SAP BODS - Architecture
- SAP BODS - Data Services Designer
- SAP BODS Repository
- SAP BODS - Repository Overview
- Repository Creating & Updating
- Data Services Management Console
- SAP BODS - DSMC Modules
- SAP BODS - DS Designer Introduction
- SAP BODS - ETL Flow in DS Designer
- SAP BODS Datastores & Formats
- SAP BODS - Datastore Overview
- SAP BODS - Changing a Datastore
- SAP BODS - Memory Datastore
- SAP BODS - Linked Datastore
- SAP BODS - Adapter Datastore
- SAP BODS - File Formats
- COBOL Copybook File Format
- Extracting Data from DB Tables
- Data Extraction from Excel Workbook
- Data Flow & Work Flow
- SAP BODS - Dataflow Introduction
- BODS - Dataflow Changing Properties
- SAP BODS - Workflow Introduction
- SAP BODS - Creating Workflows
- SAP BODS Transforms
- SAP BODS - Transforms Types
- Adding Transform to a Dataflow
- SAP BODS - Query Transform
- SAP BODS Administration
- SAP BODS - Data Services Overview
- Creating Embedded Dataflow
- Debugging & Recovery Mechanism
- Data Assessment & Data Profiling
- SAP BODS - Tuning Techniques
- Multi-user Development
- BODS - Central vs Local Repository
- BODS - Central Repository Security
- Creating a Multi-user Environment
- SAP BODS Useful Resources
- SAP BODS - Questions Answers
- SAP BODS - Quick Guide
- SAP BODS - Useful Resources
- SAP BODS - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Data Assessment & Data Profiling
Data Services Designer provides a feature of Data Profiling to ensure and improve the quality and structure of source data.
Data Profiler allows you to −
Find anomalies in source data, validation and corrective action and quality of source data.
Define the structure and relationship of source data for better execution of jobs, work flows and data flows.
Find the content of source and target system to determine that your job returns an expected result.
Data Profiler provides the following information of Profiler server execution −
Column Analysis
Basic Profiling − Includes information like min, max, avg, etc.
Detailed Profiling − Includes information like distinct count, distinct percent, median, etc.
Relationship Analysis
Data anomalies between two columns for which you define a relationship.
Data profiling feature can be used on data from the following data sources −
- SQL Server
- Oracle
- DB2
- Attunity Connector
- Sybase IQ
- Teradata
Connecting to Profiler Server
To connect to a Profile Server −
Step 1 − Go to Tools → Profiler Server Login

Step 2 − Enter the details such as System, User Name, Password and Authentication.
Step 3 − Click the Log on button.
When you are connected, a list of profiler repositories will be displayed. Select Repository and click Connect.