SAP HANA Database is the in-memory columnar database that powers SAP SuccessFactors Incentive Management (ICM). If you're building reports, querying CSC_ tables, migrating from Callidus Commissions, or preparing for a sales ops role in the HANA ecosystem — this learning path takes you from zero HANA knowledge to writing production-quality queries and procedures.
This path is organized by skill level and use case. Start at Lesson 1, or jump to what you need.
The Complete Path (6 Lessons)
Who This Path Is For
- SAP SuccessFactors IM practitioners moving from Oracle-based systems (Callidus) to HANA-based SuccessFactors IM.
- Data analysts and reporting specialists who need to query CSC_ tables for incentive commission reporting.
- SQL developers with Oracle or standard SQL experience who are new to HANA's columnar architecture and SQL extensions.
- Integration engineers building ETL pipelines that extract from or load into SAP SuccessFactors IM on HANA.
What You'll Learn
- HANA architecture basics: columnar vs row storage, why HANA dominates aggregation queries, in-memory processing.
- HANA SQL syntax: differences from Oracle (LIMIT, IFNULL, CURRENT_DATE, no DUAL table), case sensitivity, version checking.
- Built-in functions: string, date, numeric, type conversion functions with real ICM examples.
- Recursive CTEs: replacing Oracle CONNECT BY, building hierarchies for org structures and rollup calculations.
- HANA SQL Script: creating procedures, table variables, parameter passing, control flow, error handling.
- CSC_ tables: the SAP SuccessFactors IM table prefix, key tables (CSC_PARTICIPANT, CSC_RESULTS, CSC_QUOTA), indexing strategy.
- Performance mindset: selecting only needed columns, early filtering on indexed columns, using Calculation Views.
Prerequisites
This path assumes you have:
- Basic SQL knowledge (SELECT, WHERE, JOIN, GROUP BY). If you need a refresher, read SQL Fundamentals.
- Access to a SAP SuccessFactors IM or SAP HANA system where you can run queries. Most lessons use CSC_ table samples.
- Familiarity with a query editor (HANA Database Explorer, SAP Analytics Cloud, or DBeaver).
How to Use This Path
ℹ️Each lesson is self-contained but builds on prior knowledge. Read in order the first time. On revisits, jump to what you need. Code samples are copy-paste ready — use them to experiment in your own HANA environment.
Ready to begin? Start with Lesson 1: Introduction to SAP HANA Database.