SAP DS (Data Services) Course in chennai

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SAP DS (Data Services) Course in Chennai

Master enterprise data integration, ETL development, data migration, and data quality management with Edubrights’ SAP DS (Data Services) training in Chennai. This course is designed for students, freshers, SAP consultants, data engineers, ETL developers, database administrators, business intelligence professionals, and working professionals who want to build reliable data integration and transformation solutions using SAP Data Services.

Gain hands-on experience with ETL workflows, data extraction, transformation, data migration, data profiling, data cleansing, reporting, and real-world enterprise data integration projects through practical industry use cases.

Key Highlights:

✅ Real-Time Data Integration Projects & Enterprise ETL Use Cases

✅ Live Instructor-Led Training by Experienced SAP Data Services Experts

✅ Hands-On Practice with SAP Data Services (DS)

✅ SAP Data Services Architecture & ETL Fundamentals

✅ Data Extraction, Transformation & Loading (ETL) Techniques

✅ Data Migration, Replication & System Integration

✅ Data Quality, Data Cleansing & Data Profiling

✅ Workflow Design, Job Scheduling & Batch Processing

✅ Metadata Management & Data Governance Best Practices

✅ Performance Optimization & Error Handling Techniques

✅ Reports, Dashboards & Enterprise Data Analytics Support

✅ Integration with SAP S/4HANA, SAP BW, SAP HANA & Third-Party Databases

✅ Resume Building, Portfolio Development & Mock Interview Preparation

✅ Career Guidance, Placement Assistance & SAP Certification Support

✅ Flexible Online, Classroom & Weekend Training Options

✅ Corporate Training for Data Engineering, BI & SAP Teams

Build practical SAP Data Services expertise, streamline enterprise data integration, improve data quality, and become industry-ready for careers in ETL Development, Data Engineering, SAP Data Consulting, Business Intelligence, and Enterprise Data Management.

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₹40000

₹45000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. Master Enterprise ETL Architecture

Learn to design and configure end-to-end Extract, Transform, and Load (ETL) data pipelines using the SAP Data Services Designer to connect disparate source and target systems efficiently.

2. Implement Advanced Data Quality & Cleansing

Acquire the skills to profile, parse, standardize, and de-duplicate messy corporate master data using built-in data quality transforms to ensure enterprise reporting runs on trusted information.

3. Orchestrate Complex Data Transformations

Master the configuration of advanced transformation logic, including history-preserving scenarios, delta processing, data pivoting, and custom validation rules for high-volume transactions.

4. Manage Large-Scale System Data Migrations

Gain hands-on expertise in staging, validating, and executing major system data cutovers—such as moving legacy non-SAP databases into modern SAP S/4HANA target systems safely

Popular Techniques Covered in This Course

1: Central & Local Repository Configuration

2: Datastore Management & Connection Setup

3: Graphical Data Flow & Workflow Engineering

4: Core Query Transform Optimization

5: Advanced Delta Capture (Change Data Capture - CDC)

6: Data Cleansing & Validation Rule Enforcement

7: Slowly Changing Dimensions (SCD Type 1 & Type 2)

8: Management Console Administration & Job Scheduling

9: Performance Tuning & Bulk Loading Optimization

10: System Exception Handling & Recovery Recovery Design

Get Hands-on Knowledge about Real-Time Projects

Project 1

Project 1: Heterogeneous Global Customer Data Consolidation Pipeline

Connect to an external legacy SQL customer database and separate flat CSV sales files, using the Query and Merge transforms to clean, join, and structure the data into a unified analytical target schema.

Project 2

Project 2: High-Volume History-Preserving Product Master Matrix (SCD Type 2)

Build an advanced product inventory pipeline using Table Comparison, Key Generation, and History Preserving transforms to automatically capture and log granular product price changes over time.

Project 3

Project 3: Automated Zero-Downtime Inventory Change Data Capture (CDC)

Design a smart, time-stamped warehouse delta engine that automatically detects and extracts only the inventory records modified within the last hour, updating target tracking systems in real time.

Project 4

Project 4: Enterprise-Grade Master Data Quality Cleansing & Validation Loop

Construct a rigorous validation gate that profiles incoming vendor addresses, standardizes mismatched text strings, strips out invalid null records, and programmatically isolates failures for administrator review.

Project 5

Project 5: Legacy ERP to SAP S/4HANA Migration Simulation

Plan and execute a realistic data cutover project, extracting operational legacy data pools, transforming them to fit strict SAP S/4HANA structural rules, and loading them smoothly via optimized staging tables.

Key Features

Edubrights offers SAP DS (Data Services) Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Introduction to SAP Data Services

Overview of SAP Data Services (BODS)
BODS use cases: ETL, data quality, data migration
BODS architecture: Designer, Job Server, Repository
Integration with SAP BW, HANA, and non-SAP sources
BODS vs. SAP Data Intelligence

Module 2: BODS Architecture and Components

Designer client and management console
Job server and access server
Local and central repositories
Metadata management
BODS deployment options

Module 3: Data Flows and Jobs

Job, work flow, and data flow hierarchy
Source and target datastores
Data flow design and execution
Conditional branching and scripts
Job scheduling and automation

Module 4: Transforms and Functions

Query transform and mapping
Data integrator transforms
Data quality transforms
XML and flat file transforms
Custom functions and scripts

Module 5: Source and Target Datastores

Database datastores: Oracle, SQL Server, HANA
SAP Application datastores: R/3, BW
File formats: CSV, XML, Excel
Web services and OData sources
Adapter SDK for custom connectors

Module 6: Data Quality Management

Data cleansing transforms
Address validation
Data standardization rules
Duplicate record detection
Data quality dashboards

Module 7: CDC (Change Data Capture)

CDC concepts and methods
Log-based CDC configuration
Timestamp-based CDC
Real-time data replication
CDC monitoring and error handling

Module 8: SAP Data Migration with BODS

Migration methodology with BODS
Source system analysis and profiling
Mapping and transformation rules
Reconciliation and validation
Migration cutover support

Module 9: Performance Optimization

Parallel data flows
Pushdown optimization
Caching strategies
Partitioned loading
Job performance monitoring

Module 10: Error Handling and Monitoring

Error log analysis
Recovery mechanisms
Email notifications for failures
Repository management and cleanup
BODS administrator console

Module 11: BODS and SAP HANA Integration

Loading data into SAP HANA
HANA-specific optimizations
Real-time replication to HANA
Smart Data Access with BODS
Migration to SAP Data Intelligence

Module 12: Real-Time Projects and Case Studies

SAP ECC to S/4HANA data migration
Data warehouse ETL implementation
End-to-end BODS project
Certification and interview preparation

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain knowledge from experts with hands-on SAP Data Services project experience in data migration and ETL implementations.

Backgrounds at the Top Prominent corporations such as HCL, TCS, Accenture, and Capgemini employ our SAP BODS trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex ETL design and data quality management.

Hands-On Learning Focus Students apply skills using live SAP BODS environments with real data migration and ETL projects.

Up-to-Date Knowledge Trainers stay current with SAP BODS, Data Intelligence migration paths, and latest data management best practices.

About Our Course Certification*

Our institution offers a recognized SAP DS (Data Services) certification that validates your ability to design and prototype professional user interfaces efficiently. This certification enhances your design portfolio and prepares you for collaborative projects in real-world environments. Gain practical skills through hands-on training and assessments.

Course FAQs

1. What is SAP Data Services (BODS)?

It is an enterprise-class software platform used for data integration, data quality management, data profiling, and text data processing, enabling teams to extract, transform, and load (ETL) data across diverse software landscapes.

2. What does the abbreviation BODS stand for?

It stands for BusinessObjects Data Services, reflecting the platform’s history when SAP acquired BusinessObjects; though officially called SAP Data Services (DS) today, the industry still widely uses the term BODS.

3. Do I need a heavy computer programming background to learn this platform?

No. The platform uses a visual, drag-and-drop graphical user interface to construct workflows, making it beginner-friendly for freshers, though a basic understanding of simple database logic or SQL queries is a helpful asset.

4. What is the primary function of the Data Services Designer?

The Designer is the graphical development user interface where developers define data sources, map targets, drag transforms, write processing scripts, and construct the visual logic of their ETL jobs.

5. What is the difference between a Local Repository and a Central Repository?

A Local Repository stores the configuration metadata of the specific jobs and workflows built by an individual developer, while a Central Repository acts as a shared multi-user master database used for team collaboration and object version control.

6. How does the Job Server function within the architecture?

The Job Server is the core engine that executes the underlying data integration routines compiled by the developer, managing data processing loops, reading source connections, and writing records to target databases.

7. What are Datastores in SAP Data Services?

Datastores are logical configuration bridges within the software that store the connection paths, security credentials, and structural schemas required to read from or write to external databases or applications.

8. What does a "Query Transform" do?

It is the most frequently used transform node in the system, allowing developers to perform operations like filtering rows, joining multiple tables, calculating new columns, assigning aggregate functions, and mapping source fields to targets.

9. What is a Slowly Changing Dimension (SCD), and can the tool manage it?

An SCD handles how historical data updates over time; using native transforms like Table Comparison and History Preserving, the platform easily tracks historical records (such as logging a customer's address history rather than overwriting it).

10. How does the platform connect to non-SAP systems?

It includes a comprehensive library of native, high-performance database connectors built to seamlessly integrate with third-party architectures like Oracle, Microsoft SQL Server, IBM DB2, MySQL, Teradata, and standard flat files.

11. Is this training suitable for fresh college graduates in Chennai?

Yes, perfectly. Companies across major Chennai IT corridors (like OMR, Taramani, and Siruseri) continually manage massive corporate data migration projects and actively recruit junior ETL engineers who understand Data Services.

12. What specific career roles can I apply for after this course?

You will be fully prepared to step into highly compensated roles such as SAP BODS Consultant, Enterprise ETL Developer, Data Migration Specialist, Data Integration Engineer, or Business Intelligence Architect.