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How KBP accelerates SAP S/4 Hana migration: From CDS Views to ANSI SQL

For many organizations, modernizing analytics from SAP S/4 HANA to a modern cloud platform feels like running a marathon through molasses. Extracting data from Core Data Services (CDS) views, translating it into a new SQL dialect, restructuring dependencies, and then enriching it for reporting can take months.

Every week lost in this process delays insight generation — and slows ROI.


indigoChart’s Knowledge Base Processor (KBP) is built to change this equation.


A. Business Value: Cutting Project Lifecycles


KBP's automation-first approach eliminates the tedious, manual coding work that drags projects down. By ingesting SAP CDS views directly and transforming them into clean, platform-independent ANSI SQL, KBP immediately provides a foundation for analytics in Snowflake, Databricks, Microsoft Fabric, or any of 26 supported database dialects.


But KBP goes beyond just “making the SQL work.” It:

  • Resolves dependencies automatically— even when they span dozens of interlinked views.

  • Translates SAP codes into business-friendly language, making outputs readable for analysts on day one.

  • Pre-joins master and transaction tables to follow SAP best practices and reduce rework.

  • Generates reusable models so teams can create multiple reports from a single conversion effort.


This combination means projects don’t just move faster — they deliver business-ready outputs earlier in the lifecycle. With enriched tables and clear business terms, stakeholders can begin reviewing, validating, and consuming insights before the migration is even complete.



The result?

  • Shortened project timelines by weeks or months.

  • Increased confidence in the migration’s success.

  • A smoother transition to modern analytics without sacrificing data quality.


If speed, accuracy, and usability are your migration priorities, KBP ensures your SAP data gets to the finish line — faster, cleaner, and ready to deliver value.



B. Technical Capability: From SAP CDS (Core Data Services) to ANSI SQL using Automation and AI


Migrating SAP data isn’t just a matter of exporting tables and loading them into a new system. Core Data Services (CDS) views in SAP S4HANA aren’t flat data dumps — they contain business logic, calculations, joins, and relationships that must be preserved if you want your analytics to remain accurate and trustworthy in the new environment.


The Knowledge Base Processor (KBP) automates this process end-to-end, transforming CDS views into platform-independent ANSI SQL that can then be adapted to one of 26 supported dialects, including Snowflake, Databricks, and Microsoft Fabric.


Here’s how it works:


How KBP works


Code Splitting: KBP breaks CDS code into smaller, logical chunks that can be processed independently. This allows for parallel processing and easier handling of complex views.


Parsing the Structure: It analyzes the syntax to identify key components: base tables, joins, filters, calculated columns, and aggregation logic.


Metadata Extraction: KBP captures all relevant metadata — from technical and business column names to data types, view descriptions, and size details — so the context is never lost.


Dependency Resolution: CDS views often depend on other views or multiple SAP tables. KBP automatically maps these dependencies, even when they span multiple layers, ensuring the final SQL output is complete and logically correct.


ANSI SQL Generation: Once dependencies are resolved, KBP generates clean, standards-compliant ANSI SQL that exactly mirrors the logic of the original CDS view.


Platform-Specific Adaptation: The ANSI SQL is then adapted for the target environment, optimizing for performance characteristics of the chosen platform.



Business Impact

By automating these six steps, KBP:

  • Eliminates weeks of manual query rewriting

  • Preserves all embedded business logic

  • Produces analytics-ready outputs for immediate use

  • Ensures consistency across all reports and dashboards


With KBP, the complex art of CDS view conversion becomes a streamlined, repeatable, and scalable process, freeing teams to focus on analysis and insights rather than plumbing and syntax.






Conclusion:

indigoChart's KBP for SAP S/4 Hana represents a transformative approach to enterprise data integration, combining automation, preservation of business logic, and seamless cloud platform integration. By addressing the complex challenges of SAP data transformation through intelligent automation, our solution enables organizations to accelerate their analytical journeys while maximizing the value of their SAP investments.


indigoChart helps organizations adopt a modern and forward-looking migration approach ensures that your data infrastructure can grow and evolve with your business, setting you up for long-term success.

If these challenges sound familiar, let us help you take the next step towards a sustainable SAP modernization strategy. Explore our SAP solutions right here.


Visit us at www.indigoChart.com or drop us a line at hello@indigochart.com




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