Microsoft Fabric Consulting Australia
End-to-end Microsoft Fabric implementation: OneLake storage, medallion lakehouse architecture, real-time data pipelines, and high-performance Power BI Direct Lake models.
Siloed Data Estates and Expensive Fragmented Pipelines
Modern organisations suffer from data fragmented across legacy relational databases, cloud storage buckets, third-party SaaS tools, and local spreadsheets. This creates multiple conflicting versions of truth, slow query performance, and excessive compute licensing costs across separate ingestion and analytics tools.
- Data teams spending 80% of their time stitching together fragile ETL pipelines
- Slow report refresh times and high latency across large enterprise datasets
- Duplicated data storage costs across separate warehouses and data lakes
- Inconsistent security models making row-level access governance impossible
How AgenorIT Delivers Microsoft Fabric Consulting Australia
Expected Business & Architectural Impact
Unified OneLake Data Estate
Consolidating all enterprise data into a single, open Delta Parquet format, eliminating duplicate storage and ETL overhead.
Instant Direct Lake Queries
Power BI reports reading directly from OneLake Delta tables with zero import delays and lightning-fast sub-second performance.
Governed Medallion Architecture
Clear, reproducible data curation stages ensuring raw ingestion data is rigorously cleaned, validated, and business-ready.
AI & Copilot Readiness
Cleaned, catalogued enterprise data structured to power generative AI copilots and predictive machine learning models.
Tangible Engineering Deliverables
We deliver concrete, production-ready artefacts into your repositories and cloud tenants—not slide decks or vague advisory hours.
Lakehouse & Storage
- A deployed Microsoft Fabric capacity and workspace topology aligned with departmental governance
- OneLake storage foundation with Delta Lakehouse and Delta Lake table optimizations (V-Order compression)
- Medallion architecture implementation: Bronze (raw), Silver (cleansed/joined), Gold (star-schema facts & dimensions)
Pipelines & Engineering
- Fabric Data Pipelines and Dataflows Gen2 orchestrating automated ingestion from internal and SaaS sources
- PySpark notebooks and SQL Stored Procedures for scalable data transformation and deduplication
- Automated data quality validation and pipeline error alerting mechanisms
Analytics & Governance
- Power BI Direct Lake semantic models with certified measures and business logic
- OneLake security definitions including row-level and column-level security policies
- Fabric capacity sizing, cost allocation monitoring, and performance tuning guide
Technologies & Toolchains
Engineered using verified, production-grade tools and industry-standard frameworks.
Structured Delivery Process
A disciplined, transparent delivery framework designed for predictability and rapid time-to-value.
Data Estate Assessment
Audit existing databases, API sources, reporting bottlenecks, and target analytics use cases across the organisation.
Lakehouse Architecture & Medallion Design
Design the workspace hierarchy, Delta schema models, data retention policies, and security permissions.
Pipeline Engineering & Lakehouse Build
Develop automated ingestion pipelines, Spark transformation notebooks, and Delta Lakehouse structures.
Direct Lake Models & Handover
Build Direct Lake semantic models, executive reporting views, and deliver technical training to your data analysts.
Evaluating Your Technical Approach
| Architecture Dimension | Legacy Synapse / SQL Warehouse | Microsoft Fabric OneLake |
|---|---|---|
| Storage Format | ||
| Power BI Performance | ||
| Capacity Billing | ||
| Data Governance |
Enterprise Analytics Modernisation with Microsoft Fabric
Victorian logistics and freight enterprise consolidating isolated operational databases into a unified OneLake repository.
Direct Lake query execution with sub-second response times across large datasets with zero import refresh lag, legacy overnight batch windows replaced with frequent automated delta syncs, and significant cloud infrastructure cost savings through capacity consolidation.
Migrating from Azure Synapse
Azure Synapse customers face architectural fragmentation across isolated dedicated SQL pools (DWUs), serverless runtimes, and separate Spark clusters. Microsoft Fabric replaces these silos with a single Software-as-a-Service (SaaS) lakehouse environment where all analytical engines operate natively on open Delta Parquet files in OneLake.
Using OneLake shortcuts, organisations can mount existing Azure Data Lake Storage Gen2 (ADLS Gen2) containers into Fabric instantly with zero data duplication. From there, ETL pipelines can be repointed to Fabric Data Factory, and T-SQL warehouse objects can be migrated with high code compatibility while unlocking Direct Lake performance for Power BI.
When Microsoft Fabric is not the right fit
If your organisation only needs to query a single static database with simple transactional reports and does not require cross-departmental data integration, big data processing, or AI model training, standard Azure SQL and basic Power BI reporting is far more cost-effective.
Microsoft Fabric Consulting Australia — Technical FAQ
Direct engineering answers to common technical and commercial queries.
Authoritative Field Guides & Insights
Explore in-depth technical breakdowns, implementation blueprints, and Australian enterprise case studies.
Azure Synapse to Microsoft Fabric Migration Guide
Step-by-step architectural transition from Azure Synapse dedicated SQL pools to Microsoft Fabric Lakehouses.
Microsoft Fabric vs Databricks vs Azure Synapse (2026)
Objective architectural benchmark comparing compute costs, storage formats, and developer ergonomics.
Architecting Agentic AI on Microsoft Azure (2026)
Production patterns for building secure, autonomous multi-agent systems using Azure AI Agent Service and Semantic Kernel.
Data & AI Systems Engineering — Connected Capabilities
Explore complementary cloud, data, and engineering capabilities across this architectural cluster.
Fabric Proof of Concept Pricing
Fixed-scope 2-week lakehouse validation engagement.
Data Engineering Services
Pipelines and medallion architecture.
Power BI & Analytics
Executive semantic models and reporting.
AI Application Development
Production AI grounded in business data.
Enterprise Data Glossary
Lakehouse, Delta Parquet, and analytics terminology.
Data & AI Systems Engineering Overview
Modern data estates, Microsoft Fabric lakehouses, Delta Lake pipelines, and production AI agent systems.
Discuss Your Microsoft Fabric Consulting Australia Requirements
Speak directly with Gurinder Singh and our vetted technical specialists. No salespeople, no account managers—just transparent architecture advice.