
- 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
SAP BODS - Transforms Types
Transforms are used to manipulate the data sets as inputs and creating one or multiple outputs. There are various transforms, which can be used in Data Services. The type of transformations depend on the version and product purchased.
Following types of Transformations are available −
Data Integration
Data Integration transforms are used for data extraction, transform and load to DW system. It ensures data integrity and improves developer productivity.
- Data_Generator
- Data_Transfer
- Effective_Date
- Hierarchy_flattening
- Table_Comparision, etc.
Data Quality
Data Quality transforms are used to improve the data quality. You can apply parse, correct, standardized, enrich data set from the source system.
- Associate
- Data Cleanse
- DSF2 Walk Sequencer, etc.
Platform
Platform is used for the movement of dataset. Using this you can generate, map, and merge rows from two or more data sources.
- Case
- Merge
- Query, etc.
Text Data Processing
Text Data Processing allows you to process large volume of text data.