Microsoft Azure

Azure Data Platform Services for Higher Ed

Build and run reliable data pipelines on Azure—lake, warehouse, or lakehouse—so analytics teams can work from trusted data.

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Microsoft Azure Data Pipelines (ETL/ELT) Solution Services

Trusted by Top Institutions

AMDA
ANU American National University
Columbia University
GUS Canada
Jessup University
Lebanon Valley College
Maryville University
Mid-State Technical College
Oakland Community College
Ringling College
Rock Valley College
SNHU
SNU
University of Tennessee
AMDA
ANU American National University
Columbia University
GUS Canada
Jessup University
Lebanon Valley College
Maryville University
Mid-State Technical College
Oakland Community College
Ringling College
Rock Valley College
SNHU
SNU
University of Tennessee

Services We Deliver for Microsoft Azure

  • Current-state source system assessment (SIS, CRM, LMS, ERP/Finance, HR, etc.)
  • Target-state Azure data architecture (storage + compute + orchestration) aligned to IR/reporting realities
  • Design patterns for separating raw, curated, and reporting-ready datasets
  • ADLS Gen2 setup patterns for centralized storage and access control
  • Data organization conventions (zones, partitioning, lifecycle management)
  • Governance-friendly access approaches (role-based access + policies)
  • Pipeline orchestration using Azure-native tools like Azure Data Factory and/or Synapse pipelines (when used)
  • Scheduling, dependencies, retries, and operational controls
  • Connector strategy for cloud + on-prem data sources (where applicable)
  • Transformation logic and modeling for analytics-ready datasets (not scattered across dashboards)
  • Spark-based processing where needed (e.g., Synapse Spark / Databricks patterns)
  • Standardization and enrichment across SIS/CRM/LMS/ERP domains
  • Azure Synapse Analytics enablement for combined data integration + warehousing + big data processing
  • Microsoft Fabric / OneLake patterns when institutions adopt Fabric as their unified analytics layer
  • Migration planning between legacy SQL warehouses and modern lakehouse approaches
  • Automated checks for completeness, freshness, schema drift, and key metric reconciliation
  • Operational monitoring patterns for pipeline reliability and stakeholder trust
  • Governance alignment for "one definition of truth" across reporting layers

Lingk Rhythm

(Lingk Enterprise Data Pipelines Technology Optional)

Lingk can deliver Azure data pipelines using your existing tools, or we can implement and operationalize pipelines using Azure-native services (Data Factory).

When institutions want additional acceleration, Lingk’s platform can be added as an optional pipeline execution layer—built on Apache Spark for high-volume processing—while still landing data in Azure storage/warehouse environments.

Featured Azure Integrations

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Snowflake and Azure Integration
Snowflake and Azure Integration

Modernize your Azure data foundation for analytics and AI readiness

Build scalable, reliable pipelines into Azure so your reporting, dashboards, and analytics tools run on trusted institutional data.

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