SAP Certified - Data Engineer - SAP HANA

Who it's for: Data engineers, BI and analytics developers, and technical consultants who provision and model data on SAP HANA Cloud and want a recognized associate credential proving they can build calculation views, integrate and replicate remote data, and manage modeling content for reporting and analysis workloads.

The SAP® C_HAMOD certification checks whether you can actually provision and model data on SAP HANA Cloud and SAP HANA, not merely describe the tools. It spans two connected disciplines: building and optimizing calculation views in SAP Business Application Studio — dimension and cube views, projection, aggregation, join, union, rank and minus/intersect nodes, calculated and restricted columns, variables and input parameters, hierarchies, and custom SQLScript logic — and provisioning the underlying data through virtualization, replication, and transformation flowgraphs using SAP HANA smart data integration. Because it is delivered as a System-Based Assessment, the exam rewards applied execution: you complete modeling and provisioning tasks in a working system rather than answer isolated recall questions. Content targets an intermediate Data Scientist profile at project-participation depth, and also covers performance tuning, result caching, modeling lifecycle, projects, and security.

1. 1Treat calculation view modeling as one connected flow — projections, aggregations, joins, and unions feed each other, so learn to trace how a change in one node reshapes the final output before you commit to a design.
2. 2Drill dynamic modeling deliberately: variables, input parameters, and their mappings behave differently from calculated and restricted columns, and small differences change which data the view returns at runtime.
3. 3Practise the data provisioning chain end to end — remote sources and virtual tables, then replication tasks and flowgraphs — since a setting configured early silently shapes every model built on top of that data.
4. 4Rehearse performance work hands-on: use Performance Analysis mode, the SQL Analyzer, partitioning, parallelization, and result caching so you can both fix a slow model and explain why a change helped.
5. 5Work through modeling lifecycle and security scenarios — projects, deployment, Git source control, analytic privileges, roles, and data masking — because these govern how models are shared and protected in a real SAP HANA Cloud project.