Scalable data integration with Azure Data Factory

By Pedro Matos

In 16 June 2025

A Fast Track to Seamless Data Movement and Transformation

The Challenge: Managing Complex Data Integration Across Disparate Systems

In today’s data-driven world, organizations struggle with fragmented data landscapes. Data exists across various cloud environments, on-premises systems, and third-party applications, making seamless integration a daunting task. Traditional ETL processes are rigid, expensive, and often fail to keep up with the growing demand for real-time analytics and AI-driven decision-making.

This is where Azure Data Factory (ADF)—combined with Apgar’s Fast Track expertise—empowers businesses to orchestrate, transform, and integrate data across diverse environments efficiently.

Why Azure Data Factory?

Azure Data Factory is a fully managed, cloud-based data integration service designed to streamline complex workflows with:

  • Seamless Connectivity – Pre-built connectors for over 90+ data sources, including SQL Server, Oracle, SAP, AWS S3, Google Cloud Storage, and SaaS applications.
  • Scalable Data Transformation – Low-code and code-first dataflows for ETL and ELT processes, powered by Apache Spark and Azure Synapse Analytics.
  • Hybrid Data Movement – Securely move data between on-premises and cloud environments without infrastructure management.
  • AI-Driven Automation – Automate workflows, apply AI-driven insights, and monitor performance in real-time with Azure Monitor and Synapse integration.
  • Cost-Effective & Serverless – Pay only for what you use, with no need for infrastructure provisioning.

How Apgar’s Fast Track Accelerates Your ADF Implementation

Apgar’s Fast Track approach ensures a rapid, reliable, and cost-effective implementation of Azure Data Factory, reducing time-to-value and operational complexity.

Rapid Deployment & Optimization

  • Pre-built templates for common ETL and ELT use cases.
  • Accelerated pipeline development using best practices.
  • Automated orchestration of data flows with optimized execution strategies.

Seamless Integration & Scalability

  • Hybrid and multi-cloud support for Azure, AWS, Google Cloud, and on-prem.
  • Parallel execution & auto-scaling for high-performance data transformation.
  • Integration with Microsoft Purview and CluedIn to enhance governance and master data management.

Business-Value Driven Implementation

  • Optimized for operational efficiency to reduce data silos and improve decision-making.
  • Custom monitoring dashboards for visibility into data movement and transformation.
  • Robust security & compliance controls for regulated industries.

Architecture Overview

Azure Data Factory Core Components:

  • Data Sources (Ingestion Layer) – Secure connectors for structured & unstructured data.
  • Pipelines (Orchestration Layer) – Automate workflows with triggers and event-based execution.
  • Dataflows & Activities (Processing Layer) – Low-code transformations powered by Spark.
  • Integration Runtimes (Compute Layer) – Hybrid, on-prem, and cloud execution engines.
  • Monitoring & Logging (Management Layer) – Real-time tracking with Azure Monitor & Synapse.

Leveraging ADF with Microsoft Purview and CluedIn

Why Integrate with Purview and CluedIn?

To ensure data governance, traceability, and quality, organizations must extend their integration pipelines beyond ADF. Apgar brings expertise in Microsoft Purview as part of its Data Advisory practice and partners with CluedIn as one of its MDM solution providers, ensuring a comprehensive approach to data integration, governance, and management.

Microsoft Purview:

  • Connect Purview to ADF for data lineage tracking, ensuring visibility across data pipelines.
  • Enable automated data cataloging to improve metadata management and discovery.
  • Extend connectors using REST API and PyApacheAtlas SDK for seamless integration.

CluedIn:

  • Support ingestion from various sources into CluedIn, providing a unified view of data.
  • Apply data transformation before ingestion, ensuring high-quality, structured datasets.
  • Enable data lineage tracking to maintain governance and traceability.
  • Harvest CluedIn metadata and push it to Purview, enhancing governance capabilities.

Apgar’s deep expertise in data integration, governance, and AI-driven automation ensures that businesses maximize the potential of Azure Data Factory for scalable, secure, and efficient data operations.

Get Started with Apgar’s Fast Track for Azure Data Factory

Apgar is your trusted partner in accelerating data integration with ADF. Whether modernizing legacy ETL processes or building a scalable data foundation for AI and analytics, our Fast Track approach ensures quick deployment, best practices, and business impact.

  • Ready to streamline your data integration? Contact us today for a tailored ADF Fast Track assessment.

APGAR designs and delivers innovative data and AI solutions and supports clients with expert advisory services to ensure successful adoption and longterm value. With a team of over 230 data and AI experts, APGAR combines product development, integration, and advisory capabilities to help companies turn data into a strategic advantage.

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