Azure Data Factory (ADF) is Microsoft's cloud ETL/ELT orchestration service — 100+ connectors for data movement, mapping data flows for code-free transformation, and integration with Databricks, Fabric, and Azure SQL for enterprise data pipelines.
Azure Data Factory orchestrates data movement and transformation at enterprise scale. 100+ built-in connectors extract data from databases, SaaS applications, files, and APIs. Mapping data flows provide visual, code-free transformation. Pipeline activities chain together copy, transformation, and control operations with scheduling, triggers, and monitoring.
Enterprise ADF requires: incremental loading patterns (watermarks, change data capture), error handling (retry policies, failure paths, alerting), parameterized pipelines (reusable templates for multiple data sources), self-hosted integration runtime for on-premises connectivity, and cost optimization (activity-based vs data-flow pricing selection).
Consulting, implementation, and specialist talent for Azure Data Factory projects.
ADF pipelines at enterprise scale.
ETL strategy and ADF implementation.
Multi-source data integration.
Pre-qualified through consulting-led matching. 92% first-match acceptance.
Pre-qualified. 4.3-day avg.
Pre-qualified. 4.3-day avg.
Xylity provides Azure Data Factory consulting, implementation, and specialist talent. We cover strategy, architecture, development, and optimization — plus pre-qualified Azure Data Factory specialists deployed in 4.3 days average through 200+ delivery partners.
Yes. Pre-qualified through 4-stage consulting-led matching. 92% first-match acceptance rate. Senior to architect level.
Azure Data Factory integrates with multiple technologies. Our consulting-led approach selects the right combination for your requirements — technology-agnostic recommendations based on your data, team, and business goals.
Azure Data Factory consulting for enterprise pipelines — orchestration, transformation, and migration.