However, Kramer, in contrast to Walter, cautioned that enterprises’ dependence on Osmos’ technology for data engineering inside Fabric may increase platform dependence, raising governance and risk questions about certifying agentic pipelines, auditing and rolling back changes, and aligning autonomous data engineering with regulatory and compliance expectations.
Reducing repetitive engineering work for developers
For developers, though, Kramer pointed out, the acquisition has the potential to improve productivity by reducing repetitive and low-value engineering work around messy data.
“Tasks such as data wrangling, mapping inconsistent external feeds, pipeline scaffolding, and boilerplate Spark-style transformation code could be generated by agents rather than hand-built, allowing engineers to focus on architecture, performance, data quality, and guardrail design,” Kramer said.
