Microsoft Fabric Consulting

Enterprises today struggle with fragmented tools, siloed data, and complex workflows that slow decision-making. Using Microsoft Fabric, we consolidate analytics, data engineering, data warehousing, AI/ML, and Power BI into a single platform.

What We Deliver:

• Unified Workspaces & Governance: Shared compute and centralized policies reduce friction and ensure consistent access across teams.
• Elastic, Serverless Compute: Spark and SQL runtimes scale automatically, letting teams focus on insights, not infrastructure.
• OneLake Data Fabric: Consolidate data across clouds and vendors without replication or complex ingestion required.
• Copilot-Driven Acceleration: Embedded AI speeds up transformations, modeling, and code authoring.
• Transparent Lineage & Compliance: Full visibility across assets with built-in security and audit-ready governance.

Migrating from legacy platforms like SSIS, Synapse, or Power BI Premium often slows down business with manual rewrites, disconnected governance, and a high risk of errors. Our Microsoft Fabric consultants accelerate your migration, ensuring performance, semantic alignment, and cost optimization.

What We Deliver:

• Phased, Lakehouse-First Migration: Bronze, Silver, and Gold data layers decouple ingestion, transformation, and consumption for flexible evolution.
• Automated Code Refactoring: Legacy pipelines and datasets are converted into Spark notebooks, Dataflows Gen2, and DirectLake-mode models with semantic consistency.
• End-to-End Lineage & Impact Analysis: Every change is traceable; schema changes are flagged automatically for smooth validation.
• Incremental Cutover, Zero Downtime: Parallel workspaces and CI/CD deployment minimize disruption and business risk.
• Team Enablement & Documentation: Engineering, governance, and BI teams gain full training and access to a comprehensive Fabric Wiki.

Adopting Fabric without a clear framework often leads to fragmented workloads, semantic misalignment, and low adoption. Aegis Consulting implements Fabric across the full stack, ensuring modular, governed, and high-performing analytics environments.

What We Deliver:

• Business-Aligned Platform Design: Workshops prioritize use cases from dashboards to AI, creating a blueprint that spans ingestion, storage, processing, semantic modeling, and visualization.
• Lakehouse & Warehouse Deployment: Delta-formatted Lakehouses and optimized Polaris SQL Warehouses ensure structured, high-performance data layers.
• Modular, Observable Pipelines: Parameterized ingestion and transformation pipelines follow Bronze-Silver-Gold conventions, with metadata tracking for lineage and trust.
• Centralized Semantic Models: Certified Power BI datasets standardize KPIs, hierarchies, and security rules across reports.
• Monitoring & Automation: Real-time dashboards, alerts, and automated triggers maintain data health and reduce operational friction.
• CI/CD & Governance: Git-backed pipelines, templated workspace provisioning, and RBAC policies ensure compliance and smooth promotion across environments.

Legacy ETL-heavy warehouses struggle with performance, governance, and integration with modern analytics. Our Fabric consultants design cloud-native data warehouses that deliver speed, flexibility, and consistent insights.

What We Deliver:

• Business-Aligned Modeling: Fact and dimension schemas, KPIs, and hierarchies aligned to Sales, Operations, and Finance domains for reusable analytics.
• Delta-Based Architecture: Optimized for append-heavy and slowly changing data with SCD Type 1 & 2 and metadata-driven transformations.
• Polaris Engine Optimization: MPP scaling, caching, materialized views, and cost-based indexing for high-performance queries.
• Hybrid Source Ingestion: APIs, files, databases, and real-time streams ingested via Dataflows, Event Hubs, and notebooks with validation and version control.
• Semantic Model Integration: Certified Power BI datasets with RLS, shared measures, and KPIs deployed through CI/CD templates.
• Security & Cost Governance: RBAC, column-level masking, access logging, and FinOps dashboards ensure secure, cost-efficient operations.

As workloads grow, performance issues, slow refreshes, and high compute costs can erode trust in analytics. We optimize Fabric end-to-end to ensure fast, reliable, and cost-efficient insights.

What We Deliver:

• End-to-End Health Diagnostics: Telemetry dashboards track refresh times, query performance, and memory usage for proactive tuning.
• Semantic Model Refactoring: Modular, streamlined Power BI models reduce complexity, optimize relationships, and improve report responsiveness.
• DirectLake & Delta Optimization: File compaction, partition pruning, z-ordering, and metadata cleanup boost query efficiency.
• Spark & SQL Job Isolation: Dedicated pipelines, auto-scaling, and concurrency control prevent timeouts and resource contention.
• Materialized Views & Smart Caching: Pre-aggregated tables and optimized caching accelerate high-volume dashboards.
• Alerting & Auto-Healing Workflows: Integrated monitoring triggers proactive alerts and automated remediation before issues impact users.

As enterprises scale, inconsistent governance and security practices introduce regulatory risk and operational friction. Our team embeds governance, compliance, and security into every layer of Microsoft Fabric for controlled, auditable, and secure analytics.

What We Deliver:

• Purview-Integrated Data Cataloging: Centralized metadata, classification, and stewardship for all pipelines, datasets, notebooks, and semantic models.
• Workspace-Level RBAC & MIP Enforcement: Azure AD-based access controls and sensitivity labels enforce persistent security across datasets and reports.
• Row-Level & Object-Level Security: Dynamic RLS/OLS mapped to business hierarchies ensures minimum-privilege access throughout the platform.
• End-to-End Lineage & Impact Analysis: Full traceability across ingestion, Lakehouses, notebooks, and reports for schema evolution and risk assessment.
• Data Masking & PII Protection: Tokenization, encryption, and anomaly detection safeguard sensitive information while maintaining operational flexibility.
• Audit Logging & Compliance Dashboards: Activity logs and reports enable GDPR, HIPAA, ISO, and internal compliance readiness with complete visibility.

Without standardized DevOps, Fabric pipelines and semantic models risk errors, downtime, and inconsistent deployments. Aegis Consulting operationalizes CI/CD for Fabric to ensure safe, traceable, and efficient promotion of artifacts.

What We Deliver:

• Git-Backed Development: Track notebooks, dataflows, Power BI models, and templates with branches and pull requests for peer review and traceability.
• Reusable CI/CD Pipelines: YAML-based pipelines automate Dev → UAT → Prod promotion, supporting parameter injection, environment secrets, and incremental deployments.
• Semantic Model Versioning & Testing: Modular Power BI datasets with dependency checks, RLS validation, and pre-deployment refresh tests.
• Automated Workspace Provisioning: ARM/Bicep templates enforce Dev/Test/Prod parity and role assignments through configuration-as-code.
• Promotion Governance & Rollback: Changelogs, approvals, and audit trails ensure safe deployments and recovery of previous versions.
• Release Dashboards & KPIs: Power BI dashboards monitor release frequency, success rates, and error trends to enforce SLAs and improve reliability.

Operationalizing AI/ML and Copilot within enterprise analytics is challenging due to scattered tools, unclear usage patterns, and other parameters. With us, you will have Copilot integrated responsibly in Fabric to drive governed model deployment and broader adoption.

What We Deliver:

• Copilot Adoption Framework: Define practical use cases for DAX, semantic modeling, report summaries, SQL authoring, and notebooks—training users to accelerate insights responsibly.
• Notebook-Based Model Development: PySpark and pandas notebooks for data prep, feature engineering, and model training, with Git versioning and experiment tagging.
• Model Deployment & Monitoring: Deploy models via Azure ML or Fabric APIs with telemetry tracking for accuracy, drift, and latency.
• Explainability & Auditability: SHAP values, fairness metrics, and feature importance charts tied to source data ensure transparency and compliance.
• Responsible AI Governance: Access controls, approval workflows, and ethical AI guidelines enforce safe usage and accountability.
• AI-Augmented Reporting: Copilot-powered narrative summaries, anomaly explanations, and what-if scenarios make AI insights accessible to all business users.

Even after deployment, organizations struggle with operationalizing Fabric, controlling costs, and maintaining governance. We enable you with Microsoft Fabric cost optimization through managed services.

What We Deliver:

• 24x7 Monitoring & Incident Response: Custom alerts for pipelines, refreshes, semantic models, and capacity, supported by tiered L1/L2/L3 support with SLA-driven escalation.
• Usage, Cost & SLA Reporting: Power BI dashboards track dataset usage, compute costs, and memory consumption for capacity planning and cost control.
• Governance-as-a-Service: Regular audits ensure RBAC compliance, label propagation, security patching, and elimination of orphaned assets.
• Enhancement Backlog & Advisory: Agile-driven roadmap for best-practice upgrades, technical enhancements, and user-requested features.
• Proactive Optimization: Quarterly health checks and recommendations improve performance, reduce costs, and maintain platform efficiency.
• Training & Onboarding: Structured onboarding, Copilot training, and playbooks upskill teams to manage domain-specific Fabric assets confidently.