Azure Data Factory Jobs Integration
Optimize job scheduling for compute-intensive processes within ADF pipelines
Define, launch, and monitor ETL and ELT pipeline activities
Integrate Azure Data Factory workflows into overall business processes
Apply advanced data flow scheduling functionality to the Azure Data Factory pipeline
Scheduling for Microsoft Azure
The native Azure scheduler, Azure Logic Apps, offers basic scheduling functionality limited to Azure solutions. With Tidal’s adapter for Azure Data Factory (ADF), you can replace the native Azure scheduler and gain enhanced control over ADF tasks.
Our ADF Adapter integrates seamlessly with integration runtimes and integration services, ensuring smooth data integration and transformation processes. It enables the scheduling and management of linked services, allowing you to connect and orchestrate data movement across various systems and platforms.
Automate Data Pipelines
As a data engineer or a DevOps professional, you’ll find our ADF Adapter invaluable in orchestrating and automating data workflows. Our adapter expands ADF’s capabilities by enabling seamless 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 allows you to automate data pipelines and ensure the timely delivery of business-critical data to the right place at the right time.
- Construct ETL and ELT pipelines
- Ingest, prepare, and transform enterprise data at scale
- Define cross-application dependencies and triggers for ADF data
- Move beyond basic scheduling for data pipelines
ADF Data Integration
In this brief video, get an overview of our adapter for Azure Data Factory (ADF). See a brief demo of how the integration optimizes data management and integrates with Azure functions.
More Tidal Adapters for Azure
OUR CORE PLATFORM
Tidal Automation
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Frequently Asked Questions
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What is Tidal’s ADF Adapter?
Tidal provides advanced functionality and integration options, allowing users to efficiently manage and manipulate data across various Azure resources.
You can easily work with data warehouses and data stores, ensuring seamless integration and optimal performance. Users can handle datasets effectively, including working with JSON-based datasets, providing data processing and transformation flexibility.
Tidal's ADF adapter also integrates with Azure resources like HDInsight, Hive, Power BI, and supports REST API integration, enabling users to interact with its functionality and automate various tasks programmatically.
Learn more about why Tidal is the solution to orchestrate workflows across your enterprise.
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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).
Our 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 the creation and management of complex data workflows 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.
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Can Tidal's ADF Adapter Handle Complex Data Transformations and Integrations?
Yes, Tidal's adapter for Azure Data Factory empowers users to transform data seamlessly and integrate with machine learning workflows. The adapter enables efficient data processing and manipulation by leveraging powerful tools like Spark and Python.
Whether you need to perform advanced analytics, apply machine learning algorithms, or execute custom actions with PowerShell scripts, the adapter provides the necessary capabilities for comprehensive data transformation.
Learn about Tidal automation and how it works to streamline your business processes.
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How Does Tidal's ADF Adapter Support Time-Based Scheduling?
Our adapter empowers you to achieve efficient data management and orchestration with robust scheduling options, including support for time-based triggers and tumbling windows.
Tidal also integrates with Azure Databricks, enabling advanced analytics and data processing capabilities within Azure Data Factory pipelines.