Data Services - Platform and Transforms - DS10 Course

Data Services - Platforms and Transforms - DS10 courses are designed to provide participants with a wide understanding of architecture, components and change capabilities of SAP data services. While its primary focus is on data integration, cleaning and migration, the program also shows how skills can be acquired from areas such as ABAP programming to create advanced data workflows. 

Unlike a traditional programming course, DS10 emphasises graphical design tools and transformation logic rather than coding-water development. However, people with a background in basic ABAP programming will find it easier to understand some scripting and adaptation options within data services. 

Although the S4D400 approach for structured learning, unrelated to the subject, is reflected here-Step-by-step modules, hands-on exercises and ensure real-world scenarios ensure both theoretical and practical skills to ensure both the theoretical and practical skills. 

The Best IT Training is given in collaboration with the company, ensuring expert-led sessions, industry-educated materials and interactive laboratories to strengthen the syllabus learning. 

By the end of this training, participants will be able to design, configure and deploy the jobs of SAP data services for efficient data changes and integration, enabling organisations to maintain clean, reliable and business-tailored data in the enterprise system. 


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Learning Options for You

  • Live Training (Duration : 24 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of databases and SQL. 
  • Familiarity with data warehousing concepts is recommended. 
  • General knowledge of ETL tools and processes is helpful. 

Learning Objectives

  • Overview of the SAP Data Services platform and architecture. 
  • Creating and managing data flows, jobs, and workflows. 
  • Implementing ETL processes with Data Services. 
  • Using transforms for data cleansing, validation, and enrichment. 
  • Integrating structured and unstructured data sources. 
  • Monitoring and optimizing job performance. 
  • Understanding best practices for data integration projects. 

Target Audience

  • Basic understanding of databases and SQL. 
  • Familiarity with data warehousing concepts is recommended. 
  • General knowledge of ETL tools and processes is helpful. 

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