Microsoft Fabric Consulting Australia

Fabric lakehouse architecture
Evocate designs lakehouse architectures in Microsoft Fabric that consolidate your structured and unstructured data into OneLake. We configure medallion layers (bronze, silver, gold), set up shortcuts to existing Azure storage, and build the transformation logic that prepares data for consumption by analysts and data scientists.

Data engineering and pipelines
Our data engineers build Fabric pipelines that ingest from your operational systems (Dynamics 365, SQL Server, APIs, file drops) and land data in OneLake on schedule or in real time. We use Fabric Data Factory and Spark notebooks depending on the complexity and volume of each source, and we monitor pipeline health so failures are caught before they reach your reports.

Real time intelligence
Fabric’s Real Time Intelligence workload lets organisations stream events from IoT devices, application logs, and transactional systems into KQL databases for immediate analysis. Evocate configures eventstreams, builds KQL querysets, and connects real time dashboards so your operations team sees what is happening now, not what happened overnight.

Data warehousing in Fabric
For organisations that need traditional SQL warehousing alongside lakehouse workloads, Evocate deploys Fabric warehouses with T-SQL endpoints. We design star schemas, build stored procedures, and configure cross-database queries so your BI analysts can work in the language they already know while benefiting from Fabric’s unified storage and compute.

Power BI on Fabric
Fabric’s Direct Lake mode connects Power BI reports directly to lakehouse tables without needing import or DirectQuery. Evocate migrates your existing Power BI models to Direct Lake, optimises semantic models, and configures workspace permissions so your reporting is faster, cheaper to run, and governed from a single control plane.

Governance and security
Evocate configures Fabric workspaces, domains, and capacity rules to match your organisation’s data ownership model. We implement sensitivity labels via Purview integration, set up endorsement workflows for certified datasets, and build monitoring dashboards so your data governance team maintains visibility as usage scales.






















