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Data Infrastructure

Data Infrastructure That Scales

Enterprise-grade data platforms built on Microsoft Azure, accelerated by proven frameworks that eliminate 40-50% of typical build time.

Challenge

The Data Platform Challenge

Most organizations struggle with fragmented data infrastructure and lengthy implementation timelines

Common Obstacles

  • Data scattered across multiple systems with no single source of truth

  • Traditional data warehouse builds taking 9-12+ months

  • Integration complexity slowing every new data source to a crawl

  • Analytics teams waiting weeks for data pipeline changes

  • Cloud platforms under-utilized due to lack of Azure expertise

  • Security and governance concerns delaying cloud adoption

The Finaptive Solution

  • Production-ready Azure data platforms in 8-16 weeks, not months

  • Battle-tested accelerators built from 200+ Azure implementations

  • Modern architecture leveraging Synapse, Fabric, and Databricks

  • Integrated Azure AI and OpenAI capabilities for intelligent insights

  • Enterprise security and governance frameworks built in from day one

  • Self-service analytics enabling business users with Power BI

Your Unfair Advantages

Azure Accelerators

Pre-built frameworks and architecture patterns that compress timelines while improving quality

Azure Data Warehouse Architecture Templates

Production-ready Synapse and Fabric reference architectures with security, governance, and scalability built in. Start with a proven foundation instead of designing from scratch.

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Azure Accelerators

Azure Data Warehouse Architecture Templates
What's Included
  • Azure Synapse Analytics reference architecture with medallion pattern (bronze/silver/gold layers)
  • Microsoft Fabric lakehouse architecture for unified analytics workloads
  • Hybrid architecture patterns combining Synapse and Databricks for complex requirements
  • Data Lake Gen2 storage layout optimized for performance and cost
  • Network architecture with private endpoints and VNET integration
  • Identity and access management using Azure AD and managed identities
Implementation Approach
  • Select the architecture pattern matching your workload requirements and scale
  • Deploy via Infrastructure-as-Code using Azure DevOps or GitHub Actions
  • Configure Azure Monitor, Log Analytics, and alerting for operational excellence
  • Implement cost management and optimization from the start
  • Establish CI/CD pipelines for ongoing platform evolution

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Azure Data Pipeline Frameworks

Reusable ADF and Synapse pipeline patterns for common integration scenarios. Build new data flows in hours, not weeks, using metadata-driven orchestration.

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Azure Accelerators

Azure Data Pipeline Frameworks
Core Components
  • Metadata-driven ingestion framework in Azure Data Factory using control tables
  • Synapse pipeline templates for ELT processing with dynamic SQL generation
  • Change Data Capture (CDC) patterns using Azure SQL Database change tracking
  • Incremental load patterns with watermarking and checkpointing
  • Error handling and retry logic with Azure Logic Apps integration
  • Pipeline monitoring and alerting using Azure Monitor and Application Insights
Integration Patterns
  • REST API connectors for SaaS platforms with OAuth2 authentication
  • SQL Server Integration Services (SSIS) lift-and-shift to Azure-SSIS runtime
  • Real-time streaming with Event Hubs and Azure Stream Analytics
  • File-based integration with SFTP, Azure Blob Storage, and Data Lake
  • Power Platform integration connecting Dataverse and Power Apps
  • SAP and Dynamics 365 connectors for ERP data extraction

Azure Data Modeling Library

Pre-built dimensional models and Fabric semantic models for common business domains. Deploy analytics-ready schemas without starting from a blank slate.

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Azure Accelerators

Azure Data Modeling Library
Model Library
  • Financial analytics models (GL, AP, AR) optimized for Synapse dedicated SQL pools
  • Sales and customer analytics dimensional models with SCD Type 2 handling
  • Supply chain and inventory models for operational analytics
  • HR analytics models covering headcount, compensation, and performance
  • Marketing analytics models tracking campaigns, attribution, and conversion
  • Microsoft Fabric semantic models with DirectLake for real-time insights
Implementation Approach
  • Deploy dimensional models as SQL scripts or T-SQL stored procedures
  • Implement slowly changing dimensions using merge patterns in Synapse
  • Create aggregated fact tables for query performance optimization
  • Build Power BI semantic models on top with DAX measures library
  • Implement row-level security and object-level security in Power BI
  • Version control using Azure DevOps with automated deployment pipelines

Azure Data Quality Framework

Automated testing and monitoring for data pipelines using Azure services. Catch issues before they reach analytics with comprehensive quality checks.

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Azure Accelerators

Azure Data Quality Framework
Quality Components
  • Great Expectations framework deployed on Azure Databricks for validation rules
  • Automated data profiling using Synapse Spark pools to establish baselines
  • Custom quality checks in ADF pipelines with conditional branching
  • Anomaly detection using Azure Machine Learning for outlier identification
  • Data lineage tracking with Microsoft Purview for impact analysis
  • Quality scorecards and dashboards in Power BI with alerting
Monitoring & Alerts
  • Azure Monitor integration for pipeline execution metrics and failures
  • Application Insights for custom quality metric tracking
  • Logic Apps workflows triggering notifications on quality violations
  • Teams and email alerts for critical data quality issues
  • Quality trend analysis showing improvement over time
  • Automated remediation workflows for common data issues

Azure Security &  Governance Templates

Enterprise-grade security controls and compliance frameworks for Azure data platforms. Meet regulatory requirements without slowing delivery.

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Azure Accelerators

Azure Security &  Governance Templates
Security Controls
  • Azure AD integration with conditional access policies and MFA enforcement
  • Managed identities for Azure resources eliminating credential storage
  • Private endpoints and VNET integration for network isolation
  • Encryption at rest using customer-managed keys in Azure Key Vault
  • Encryption in transit with TLS 1.2+ enforced across all connections
  • Azure Defender for Cloud continuous security posture assessment
Governance Framework
  • Microsoft Purview data catalog for asset discovery and classification
  • Automated sensitive data discovery and classification using AI
  • Data loss prevention (DLP) policies integrated with Microsoft 365
  • Azure Policy enforcement for compliance and configuration management
  • Cost management with budgets, alerts, and resource tagging strategy
  • Audit logging with Azure Monitor and Log Analytics retention policies

Power BI Analytics Accelerator

Pre-built Power BI solutions with best practice report designs and DAX patterns. Deploy executive dashboards in days, not months.

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Azure Accelerators

Power BI Analytics Accelerator
Report Templates
  • Financial reporting templates with budget vs actual analysis
  • Sales performance dashboards with territory and product hierarchies
  • Operational KPI scorecards with conditional formatting and alerts
  • Executive summary reports optimized for mobile viewing
  • Drill-through and detail reports for root cause analysis
  • Paginated reports for operational reporting and pixel-perfect layouts
Power BI Best Practices
  • DAX measures library for common business calculations and time intelligence
  • Performance optimization using aggregations and composite models
  • DirectQuery vs Import mode guidance based on data volume and freshness
  • Row-level security implementation with dynamic security patterns
  • Power BI deployment pipelines for dev/test/prod promotion
  • Premium capacity sizing and optimization recommendations

Azure AI & OpenAI Integration

Intelligent capabilities embedded in your data platform using Azure AI services and OpenAI. From automated insights to natural language queries, make your data more accessible.

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Azure Accelerators

Azure AI & OpenAI Integration
AI Capabilities
  • Azure OpenAI Service for natural language to SQL query generation
  • Conversational analytics allowing business users to ask questions in plain English
  • Automated insight generation using GPT models to surface trends and anomalies
  • Document intelligence extracting structured data from invoices and forms
  • Azure Cognitive Search for semantic search across data lake and warehouses
  • Power BI integration with Q&A and narrative smart visuals powered by AI
ML & Advanced Analytics
  • Azure Machine Learning integration for predictive models and forecasting
  • Automated ML (AutoML) for rapid model development without data science expertise
  • ML model deployment to Synapse and Databricks for scoring at scale
  • Real-time ML inference using Azure Container Instances or Kubernetes
  • MLOps pipelines for model versioning, monitoring, and retraining
  • Responsible AI dashboard for model fairness and explainability
Power Platform Integration
  • Power Apps connecting to Synapse and Fabric via SQL endpoints
  • AI Builder models for form processing and object detection
  • Power Automate workflows triggered by data events and quality alerts
  • Dataverse integration enabling low-code app development on your data
  • Copilot Studio chatbots answering questions about your business data

Approach

Our Implementation Approach

A proven methodology that adapts to your scope and complexity

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Phase 1

Discovery & Design

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  • Current state Azure environment and data landscape assessment

  • Source system analysis and connectivity validation

  • Use case and requirements gathering with stakeholders

  • Azure architecture design selecting optimal services (Synapse, Fabric, Databricks)

  • Data modeling strategy and semantic layer definition

  • Security, governance, and compliance framework using Azure Policy and Purview

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Phase 2

Build & Configure

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  • Deploy Azure data platform using Infrastructure-as-Code templates

  • Build data pipelines in Azure Data Factory and Synapse using frameworks

  • Implement dimensional models and semantic layers in target platform

  • Configure data quality framework with monitoring and alerting

  • Set up pipeline orchestration and scheduling in Azure

  • Develop Power BI reports and dashboards from template library

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Phase 3

Test & Validate

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  • End-to-end pipeline testing with production data volumes in Azure

  • Data quality validation and source-to-target reconciliation

  • Performance testing and query optimization in Synapse/Fabric

  • User acceptance testing with business stakeholders

  • Security and compliance verification using Azure security tools

  • Documentation and knowledge transfer on Azure platform

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Phase 4

Deploy & Enable

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  • Production deployment and cutover in Azure environment

  • User training on Power BI, Fabric, and self-service capabilities

  • Hypercare support through stabilization period

  • Performance monitoring using Azure Monitor and Application Insights

  • Continuous improvement planning and backlog prioritization

  • Handoff to internal team or transition to managed services

Azure Accelerator Advantage

By starting with proven Synapse and Fabric architecture patterns plus reusable ADF frameworks, we eliminate 40-50% of the typical build time while delivering better quality. Your team gets a battle-tested Azure data platform without paying for us to solve problems we've already solved hundreds of times.

Timeline varies by scope: Focused data warehouse implementations (8-12 weeks) • Comprehensive data platform builds (3-5 months) • Our Azure accelerators reduce timelines by 40-50% regardless of scope

Proven Results

How We Transformed Data Infrastructure For A Multinational Real Estate Investment Firm Using Azure.

12 weeks
Phase 1 to Production
5 months
Full Platform Rollout
2 weeks → 1 day
Portfolio Reporting Time
100+
Business Users Enabled
15+
Source Systems Integrated
40%
Reduction in Cloud Infrastructure Costs
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Case Study

Azure Synapse Data Platform for Global Real Estate Operations

Multinational Real Estate Investment Firm | Global Operations

Context

A global real estate investment firm with operations across North America and Asia faced significant challenges with their data infrastructure. They had data scattered across multiple ERP systems, property management platforms, and regional databases, making it impossible to get a consolidated view of their portfolio performance. Manual data aggregation processes took weeks, and decision-makers couldn't access timely insights for investment decisions.

What We Built

Finaptive implemented a comprehensive Azure data platform leveraging Azure Synapse Analytics, our Data Warehouse Architecture Templates, Azure Data Factory Pipeline Frameworks, and Data Quality accelerators. We built a scalable Synapse dedicated SQL pool that consolidated data from 15+ source systems across multiple regions, implemented automated data pipelines in Azure Data Factory for daily updates, and established analytics-ready dimensional models optimized for their key business metrics including occupancy rates, NOI, and portfolio valuations.

Impact

By integrating with their property management systems, financial systems, and market data sources through ADF connectors, we created a single source of truth that empowered executives with real-time portfolio visibility via Power BI dashboards. The Azure data platform now supports over 100 business users across finance, operations, and executive leadership teams with self-service analytics capabilities, all secured using Azure AD and managed identities.

"The Azure data platform Finaptive built has fundamentally changed how we operate. What used to take our team two weeks of manual work now updates automatically overnight in Synapse. We can now make investment decisions based on current data instead of stale spreadsheets. Their accelerators got us to Phase 1 production in 12 weeks, with the full platform rolled out in under 5 months instead of the 9-12 months other vendors quoted. The Azure architecture they delivered is enterprise-grade and scales with our growth.”

— VP of Finance & Analytics, Real Estate Investment Firm

Get Started

Ready to Build Your Azure Data Platform?

Schedule a 30-minute consultation to see which Azure accelerators fit your data challenges and how fast you could go live.

Book a Consultation

See our Azure architecture patterns in action during your consultation

No generic demos; we'll show you specific Synapse and Fabric frameworks for your use case

Walk away with a preliminary Azure implementation roadmap (no obligation)