Design, Orchestrate, and Automate Your Data Pipelines
Azure Data Factory by AMSYS provides a cloud‑native ETL/ELT service with visual authoring, hybrid connectivity, and enterprise governance. AMSYS delivers end‑to‑end ADF solutions—from design and deployment to tuning and managed support—ensuring reliable, scalable data integration across your organization.
What is Azure Data Factory?
Azure Data Factory is Microsoft’s fully managed, serverless data integration service. AMSYS helps you build, schedule, and monitor data pipelines—connecting on‑premises and cloud sources, transforming data at scale, and delivering trusted insights to your analytics platforms.
Overcome integration complexity, latency, and governance gaps.
Manually coding data moves between on‑premises and cloud slows projects and introduces errors.
Lack of near‑real‑time pipelines delays critical insights and business responsiveness.
Chaining multiple steps with dependencies across environments is error‑prone without a visual framework.
Tracking data lineage and compliance across distributed pipelines requires robust auditing.
Visual, scalable, and secure data integration capabilities.
Drag‑and‑drop pipeline designer accelerates development and reduces hand‑coding.
Seamlessly move data between on‑premises and cloud sources with built‑in connectors.
Transform and cleanse data at scale using Spark‑based mapping and Power Query flows.
Define scheduled, tumbling window, or event‑driven triggers to automate pipelines.
End‑to‑end pipeline monitoring with email alerts, metrics, and integrated diagnostics.
Accelerate time‑to‑insight, reduce costs, and strengthen governance.
Proven approach to architect, implement, and optimize ADF at scale.
Assess data estate, define use cases, and design end‑to‑end pipeline architectures.
Develop mapping and wrangling flows, optimized for performance and cost.
Automate unit and integration tests, ensuring data accuracy and SLA compliance.
24/7 AMSYS monitoring, tuning, and incident response to keep your pipelines running smoothly.
Guidelines to maximize reliability, performance, and maintainability.
Break complex workflows into smaller, reusable pipelines and templates.
Use global parameters and environment‑specific configurations to streamline deployments.
Integrate ADF with Azure DevOps or GitHub Actions for version control and automated releases.
Set up Azure Monitor alerts and dashboards to detect and resolve issues early.
Use integration runtime scaling and cost alerts to optimize spend without sacrificing performance.
High‑throughput, secure data movement across any source.
Over 90 connectors for databases, SaaS, file stores, and on‑premises systems.
Native support for full loads, upserts, and change data capture patterns.
Built‑in encryption, managed identities, and VNet integration for data in transit.
Self‑hosted and Azure integration runtimes for flexible on‑prem to cloud data flows.
Automate complex workflows with triggers and control flow tasks.
Use scheduled, event‑based, and tumbling window triggers to kick off pipelines.
If/else branching, ForEach loops, and error‑handling tasks for advanced logic.
Execute Azure Functions, Databricks notebooks, or custom code as pipeline steps.
Link pipelines and tasks with success, failure, or completion dependencies.
Track trigger health and history for SLA adherence and troubleshooting.
Build scalable ETL/ELT flows with Mapping and Wrangling.
Visually design Spark‑based transformations with built‑in functions and expressions.
Interactive Power Query experience to clean and shape data before loading.
Optimize partitioning, caching, and cluster size for cost‑effective scaling.
Maintain pipeline health, security, and compliance.
Live Pipeline Dashboards
View run history, meantime to failure, and throughput metrics in real time.
Alerting & Notifications
Configure email, SMS, or Teams alerts for pipeline successes and failures.
Audit & Lineage
Track data lineage and pipeline changes for compliance and impact analysis.
Role‑Based Access
Manage permissions at resource, pipeline, and integration runtime levels.
Cost & Usage Insights
Monitor activity run costs and optimize spend with built‑in analytics.
