Manufacturers are speeding up digital transformation with major data updates that include moving away from legacy systems. Recently, carbon-steel maker Forza Steel announced a move to SAP Cloud ERP on Microsoft Azure. As a result, they outlined an AI-powered data strategy to boost efficiency and industry leadership. Similarly, Brose completed a six-month SAP cloud ERP migration without stopping production. In
In July 2025, a data engineer posted on the Databricks community forum asking whether Lakebridge actually converts Informatica PowerCenter workflows end-to-end. The thread ran nine months with three partial replies. One reply admitted “there’s no mature tool that can fully convert Informatica BDM mappings into PySpark.” Nobody answered the pricing question. That thread captures the core problem with picking a data migration solutions
Data conversion vs data migration is a distinction most teams get wrong the first time. Conversion reshapes data inside a system. Migration moves data between systems. The labels look similar on a slide, but in execution they behave differently, and teams that confuse the two end up with the wrong scope, tools, and budget. The cost shows up in the
SAP’s end-of-life timeline for Crystal Reports is no longer theoretical. Crystal Reports 2016 support ended on December 31, 2024, and Crystal Reports 2020 reaches end of maintenance on December 31, 2026 . For organizations running either version, this directly impacts long-term reporting strategy and accelerates the need for Crystal Reports to Power BI migration. After these dates, there are no
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