SAP Data Services
SAP Data Service provides an organization a single enterprise solution for data quality, data integration and text data processing. That allows transform, integrate, improve and deliver trusted data to complex business process. It cost effectively delivers trusted information to crucial enterprise process, build performance with quality informed decisions and enhance enterprise function efficiencies with one version of the truth across the enterprise, reduce risk and delivers quality information. It helps an organization to move, govern, improve, and unlock big data. Develop key features such as a metadata repository, data connectivity layer and scalable user interface development.
|Course Name||SAP Data Service Online Training|
|Contents||Fundamentals and Concepts of SAP Data Service|
|Duration||30 Hours with Flexible timings|
|Delivery||Instructor Led-Live Online Training|
|Ideal For||Aspiring job seekers or professional in the field of SAP|
|Next Batch||Please visit the schedule section|
- Define Source and Target Connections.
- Define Data Services and Implement Change Data Capture.
- Development of batch jobs and scheduling of tasks.
- Description of data services of business objects in SAP.
- Debug, Validate and Trace Data Services Jobs.
- Ways of using variables, functions and other scripts.
- Error handling of processes.
- Implementation of the data integration transfer platform.
- Detection of data recovery and process chains.
- Use Data Services Transforms.
PRE-REQUISITES: Basic Knowledge of ETL and Data Warehousing, Basic Knowledge of Procedural Oriented Programming and SQL Language
MODULE 1: OVERVIEW OF SAP BODS
TOPICS: Introduction to Data Warehouse, Data Warehouse Products and Venderssap BW Limitations, Functions and Benefits, Need for SAP Acquired Business Objects, Data Warehouse Functions & Implementation, Data Centric Vs Process Centric DWH System, About SAP’s Datawarehouse-SAP BW. Introduction to Business Objects and their Products
MODULE 2: DATA SERVICES
TOPICS: Introduction to Data Services, Need of Data Services, Areas to Be Employed, Effect on Business Process, Features, Functions, Data Services Product Evolution, Architecture. Tools, Objects and Objects Hierarchy, BODS Objects Comparison with SAP BW Objects, BODS Objects Naming Standards
MODULE 3: SOURCE AND TARGET METADATA
TOPICS: Defining Datastores, Handling Flat Files, Defining System Configurations
MODULE 4: BATCH JOB CREATION AND TROUBLESHOOTING,
TOPICS: Creating Batch Jobs, Creating Data Flows, Validating and Tracing Jobs, Debugging Data Flows, Creating Workflows, using the Debugger, Setting and using Traces, Auditing Data Flows, Writing Comments with Descriptions and Annotations
MODULE 5: VARIABLES, SCRIPTS AND FUNCTIONS
TOPICS: Using Built-In Functions, Parameters, Variables and Scripts
MODULE 6: PLATFORM TRANSFORMS
TOPICS: Using Platform Transforms, Using Map Operation Transform, Using Validation Transform, Using Case Transform, Using SQL Transform, Using Merge Transform, Data Integration, Platform-Query, Case, Map_Operation, Merge, Validation Custom ABAP Transform, SQL
MODULE 7: HANDLING ERROR AND CHANGES IN DATA
TOPICS: Setting Up Error Handling, Using Source-Based Change Data Capture, Capturing Changes in Data, Using Target-Based Change Data Capture
MODULE 8: DATA SERVICES PLATFORM TRANSFORMS
TOPICS: Using the Data Transfer Transform, Using Data Services Platform Transforms, Using the Pivot Transform
MODULE 9: DATA SERVICES ADVANCE LEVEL
TOPICS: BODS Admin Console, Parameters, Substitution Parameters, Variables, System Config, Embedded Data Flows Real Time Jobs, Recovery Mechanism, Debugging, Data Assessment, BODS Performance Tuning Techniques, Migration and Implementation, BODS Object Migration Techniques, Multi-User-Development Environment
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