Azure Data Factory
Optimize job scheduling for compute-intensive processes within Azure Data Factory (ADF) pipelines. The Tidal by Redwood adapter for ADF streamlines data integration and movement within your pipelines by providing scheduling and dependency management capabilities beyond those of its native scheduler.
Uncomplicate your data management
Integrate and transform data when and how you need to.
Enjoy best-in-class ETL orchestration
Define, launch and monitor ETL and ELT pipeline activities.
Heighten efficiency beyond IT
Integrate ADF workflows into overall business processes.
Access easy pipeline setup
Apply advanced data flow scheduling functionality.
Orchestrating data flows with less effort
The native Azure scheduler, Azure Logic Apps, offers basic scheduling functionality limited to Azure solutions. With Tidal’s adapter for Azure Data Factory, you can replace the native Azure scheduler and gain more control over ADF tasks.
The adapter integrates seamlessly with integration runtimes and services, ensuring smooth data integration and transformation processes. It enables scheduling and management for linked services so you can connect and orchestrate data movement across various systems and platforms.
What the adapter enables
As a data engineer or a DevOps professional, you’ll find the Tidal ADF adapter invaluable in orchestrating and automating data workflows. It expands ADF’s capabilities by enabling fluid connectivity to various data sources and destinations, including Azure Blob Storage, Azure Data Lake, Azure SQL Database, Azure Synapse and even on-premises resources such as SQL Server and SSIS. It helps you automate data pipelines and deliver business-critical data to the right place at the right time.
- Construct ETL and ELT pipelines
- Define cross-application dependencies and triggers for ADF data
- Ingest, prepare and transform enterprise data at scale
- Move beyond basic scheduling for data pipelines
How it works
Tidal enables you to manage and execute Azure Data Factory jobs, giving you more control over their configuration and how they run within complex data workflows. This helps you establish efficient processes for transforming and moving data.
With Tidal’s capabilities, you can:
- Control the jobs you’ve set up within the adapter
- Define Azure Data Factory jobs
- Define events related to the Azure Data Factory adapter
- Keep track of Azure Data Factory job activity
It’s easy to schedule ADF pipelines and monitor their execution status from within Tidal. Tidal also allows you to create dependencies between ADF jobs and other tasks in your enterprise automation workflows, so you get a unified view.
See it in action
Get a brief demo of how the Tidal adapter for ADF optimizes data management and integrates with Azure functions.
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Tidal and Azure Data Factory integration FAQs
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What is an Azure Data Factory?
Azure Data Factory (ADF) is a cloud-based, serverless data integration service that allows you to create, schedule and manage data pipelines for moving and transforming data from various sources to different destinations.
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How does Tidal's ADF adapter improve scheduling?
Tidal's adapter for Azure Data Factory streamlines job scheduling by providing advanced features and functionality within the Azure portal, considering various factors such as data flow and data transformation requirements. It empowers you to schedule pipeline runs efficiently, considering start dates, start times and time zones (such as UTC).
The adapter provides comprehensive scheduling options, including schedule triggers, window triggers, the ability to add triggers and trigger pipeline execution on demand. You can utilize templates to streamline complex data workflow execution and management while benefiting from built-in functions to transform and manipulate data.
Optimize your data integration and migration processes, define cross-application dependencies and achieve efficient data management across your enterprise.