Tag
#Governance
6 articles
Laying out a Microsoft Fabric lakehouse for analytics
Fabric puts the lake, the warehouse and Power BI on one storage layer. That only simplifies things if medallion layers, workspace ownership and Direct Lake models are settled before the first load.
NinetyX Data & AI Practice · · 3 min read
Migrate the operating model, not just the workloads
Cloud programmes rarely stall on technology. They stall when workloads move but tickets, change windows and environment requests stay the same. Sequence by capability and run the landing zone as a product.
NinetyX Cloud Practice · · 2 min read
Governed data comes before useful AI
AI work stalls in the data layer far more often than in the model. A catalogue, access granted at the source and lineage you can query are the groundwork most plans leave out.
NinetyX Data & AI Practice · · 2 min read
Treat LLM features as engineering, not experiments
Useful LLM features depend less on model size than on retrieval over your own content, an evaluation set that gates each release, and guardrails tested like any other code.
NinetyX Data & AI Practice · · 2 min read
Landing zones that make the secure path the easy one
A landing zone is the governed environment every new workload is deployed into. Enforce it with policy rather than review and version all of it, and teams will build on it instead of around it.
NinetyX Cloud Practice · · 2 min read
Security checks in the pipeline, tuned to real risk
A security review at the end of delivery comes too late to change much and turns into a queue. Scans and policy checks on every change give fast feedback, provided each gate blocks real risk.
NinetyX DevSecOps Practice · · 2 min read
Start from the platform you have today
Tell us what you run, what is holding back the next release or workload, and who owns it. An engineer replies with questions and a proposed first step.