Practical guides for engineering leaders modernising legacy ETL, data warehouses and SAP estates.
Why the data workstream consumes half the effort in an ECC to S/4HANA programme, where the Migration Cockpit stops, how the four realistic tooling options compare, and the decisions that separate a clean cutover from a delayed go-live.
Read the guide →A worked cost comparison for a 100-package ETL estate across manual rewrite, cloud ELT tooling and AI-assisted migration, the hidden line items that never make the business case, and how to present a payback period a CFO will accept.
Why Fabric is the natural landing zone for Microsoft-centred bank estates, how packages map to notebooks, medallion lakehouses and Direct Lake semantic models, and a plan that proves the Power BI numbers match before cutover.
A scenario-driven playbook for rebuilding an SAP ECC FI extraction chain in a bank or insurer — BKPF, BSEG, fiscal variants, reversals — as tested dbt models that reconcile to the general ledger with standing audit evidence.
How DataStage concepts map to Databricks, why Transformer stages carry the real risk in a regulated reporting chain, and a step-by-step plan that proves parity — with evidence auditors accept — before anything is switched off.
The 12-step checklist that separates migrations that land on time from those that do not — discovery, design, migration and cutover, with the three failure patterns it prevents.
A practical framework for evaluating PowerCenter exits: the four realistic routes, an honest time-cost-risk comparison, and how to choose based on your estate rather than the vendor demo.
How Talend concepts map to Snowflake and dbt, the three migration paths compared, and the pitfalls — context variables, tMap rules, aggregate parity — that catch teams out most often.
A scenario-driven playbook for moving a business-critical Talend job to Microsoft Fabric without breaking Finance reconciliation — extract the logic, regenerate as Fabric-native code, and prove parity before cutover.
Why the manual rewrite path is risky, how SSIS concepts map to Databricks, and a faster, safer migration playbook using LogicLift.
