Technical Screening by Stack: The Questions That Separate Datasphere From BW
As of 2026-08-16
BW, BW/4HANA and Datasphere sit on genuinely different architectures, yet candidates routinely describe experience on all three with identical language, and a non-technical recruiter cannot separate the two from words alone. This module gives ten specific questions — on brownfield versus greenfield migration, replication flows versus data flows, Data Access Controls, and connection types — that force a candidate to reveal depth they cannot fake, plus the four reliable tells of a weak answer. It grounds the stakes in Analytics Legends' live contract corpus (1,873 postings, 2026-08-16), where 434 postings name 'bw' as the primary category against 352 for 'datasphere' and 116 for 'bdc' — three adjacent but non-interchangeable demand pools that a generic screen will conflate.
What you will learn
- Ask questions that force a candidate to reveal stack depth they cannot fake
- Distinguish brownfield from greenfield BW/4HANA migration experience
- Tell classic BW maintenance work apart from real Datasphere modelling
- Read a screening scorecard against genuine live-market demand for each stack
Why "SAP BW Experience" Is Not a Screening Answer
BW, BW/4HANA and Datasphere sit on genuinely different architectures, and a candidate can be strong on one and shallow on another while using identical language to describe both. A non-technical recruiter cannot tell "I ran BW/4HANA queries" from "I modelled a BW/4HANA extraction layer" from the words alone. The fix is not learning to code — it is learning which questions force a candidate to reveal depth they cannot fake.
The BW / BW/4HANA Line
Ask what a candidate actually built inside BW/4HANA versus inherited from classic BW: were they modelling new aDSOs and CompositeProviders, or maintaining InfoCubes migrated years earlier without touching the model? Ask what "migration" meant in their last BW/4HANA project — brownfield (keep the model, rehost the database) or greenfield (rebuild the model). The two require different skill sets, and a candidate who cannot immediately name which one they did was probably adjacent to the project, not driving it.
The Datasphere Line
Prerequisites
- Completed M304 (Reading an SAP Analytics CV) or equivalent CV-screening experience
- Review core concepts first: C001, C316, C310
Outcomes
- Ask questions that force a candidate to reveal stack depth they cannot fake
- Distinguish brownfield from greenfield BW/4HANA migration experience
- Explain why 'SAP BW experience' is not itself a screening answer
- Apply the ten-question screen to a live candidate scenario
Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the knowledge check · the diagrams.