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Data Factory

Design and operationalize resilient data integration fabrics that ingest, standardize and deliver trusted data to analytics and operational systems.

  • Enterprise-grade pipelines with governance, lineage and SLA monitoring
  • 200+ connectors for hybrid and multi-cloud topologies
  • Template-driven onboarding for source systems and repeatable patterns

Synapse Data Engineering

Scalable Spark frameworks, automated ETL-to-ML workflows and collaborative notebooks to accelerate data engineering velocity.

  • Delta Lake patterns for ACID and time-travel data management
  • Autoscaling Spark pools and cost-aware compute design
  • Streaming pipelines for near real-time analytics

Data Warehouse

High-performance, T-SQL compatible analytics engines designed for predictable SLAs and controlled cost at scale.

  • Autonomous performance tuning and indexing strategies
  • Columnar storage and partitioning for cost-efficient queries
  • Semantic layer design for consistent enterprise reporting

Power BI

Governed, self-service analytics with embedded insights and AI augmentation to make data consumable across the business.

  • Enterprise semantic models and certified datasets
  • Embedded analytics and operational reporting patterns
  • Natural language Q&A and AI-augmented visuals to broaden adoption

Real-Time Intelligence

Operational analytics for telemetry and IoT with sub-second queries, alerting and automated playbooks.

  • KQL database tuned for time-series and telemetry
  • Event-driven ingestion with built-in retention and retention policies
  • Real-time dashboards, SLA alerts and anomaly detection

Data Science & MLOps

From experimentation to production: governed model lifecycle, reproducible pipelines, and operational monitoring.

  • Collaborative experimentation with notebooks and MLflow
  • CI/CD pipelines for model promotion and governance
  • Feature stores and model observability for production reliability

Azure Purview

Integrate Azure Purview for end-to-end data discovery, classification, and lineage — enabling trust, compliance, and security across your Fabric estate.

  • Unified enterprise data catalog and metadata management
  • Automated classification and sensitivity labeling
  • Cross-system lineage to simplify audits and impact analysis

GenAI & Copilot for Fabric

Accelerate delivery and adoption with Fabric Copilot and GenAI: code generation, query assistance, automated documentation, and insight generation — reducing build time and increasing accuracy.

  • AI-assisted pipeline generation and query creation
  • Copilot-driven self-service for business users and analysts
  • Automated anomaly detection and governance recommendations