What You Need to Know About Fabric Data Factory in 2025
In today's world, data is very important. The Fabric Data Factory helps manage a lot of information. You need to know its new features and future plans. This way, you can use it better. By keeping up with these updates, you can improve how you manage data. This will help your organization work more efficiently.
Key Takeaways
Fabric Data Factory helps connect data using REST APIs. This makes it easier to handle data workflows.
New features let you access more than 170 data sources. This increases productivity and efficiency.
Automation tools make data processes smoother. They save time and let you focus on important tasks.
AI integration helps with decision-making and user experience. It combines data sources and gives real-time insights.
New features in 2025 will make data management and analytics even better.
New Features of Fabric Data Factory
The Fabric Data Factory has added many cool features. These features help you manage data better. They focus on making data integration and connections easier. This makes your work smoother and faster.
Data Integration Enhancements
One great feature of the Fabric Data Factory is its better data integration. You can now connect easily to different data sources. This helps your data flow better. Here are some important improvements:
REST APIs for Pipelines: You can create, read, update, delete, and list pipelines using REST APIs. This change fixes past problems with integration. It makes managing your data workflows easier.
Copy Job (Preview): This new feature is better than the old Copy activity. It gives you a better experience and more functions.
CI/CD for Copy Job: Adding Git and Deployment Pipeline support makes the deployment process better. It solves earlier CI/CD issues.
These improvements not only make your data management tasks easier but also help you work faster.
Connectivity Improvements
The connectivity upgrades in Fabric Data Factory greatly improve how you connect with other data sources. You can now access over 170+ data stores. This includes both on-premises and cloud sources. This wide connectivity lets you pull data from many platforms easily.
Also, new connectors help you get data from specific platforms. For example, the SAP Table connector lets you access SAP tables/views or CDS views. It works well for large data volumes. The SAP BW OpenHub connector helps you extract data from BW InfoProviders like ADSOs and InfoCubes. These features help you work with different data sources, which boosts your productivity.
The effect of these new features on user productivity is big. By automating repetitive tasks, you save time. This lets you focus on more important work. Real-time, event-driven responses help you be quick in fast-changing markets. Faster data readiness cuts costs and makes operations better.
Organizations using these features see big productivity boosts. For example, EchoStar Hughes saved 35,000 work hours, raising productivity by 25%. Similarly, Bank CenterCredit saved 800 hours each month, speeding up decision-making by 50%.
Data Transformation and Orchestration
Data transformation and orchestration are very important for making your data workflows better. With the new updates in Fabric Data Factory, you can make processes easier and improve automation. This helps you manage your data tasks more effectively.
Streamlined Processes
The Fabric Data Factory has many new features that make data transformation easier. These updates help you save a lot of time on data processing. Here are some key improvements:
These features help you automate data copying and run stored procedures, making your data processing easier. You also get strong scheduling and monitoring tools that keep your data flowing smoothly.
Tip: Faster pipeline validation helps you check connectors quickly, speeding up pipeline setup and cutting down development time.
Automation Features
Automation features in Fabric Data Factory greatly improve how you manage data. The platform now has many automation tools that make your workflows easier. For example, you can use shortcuts for data ingestion. This makes workflows simpler and cuts down on manual work in data engineering.
By using these automation features, you can focus on important projects instead of repetitive tasks. This change not only boosts productivity but also helps you make smart decisions based on timely data insights.
AI in Fabric Data Factory
Artificial Intelligence (AI) is very important for improving Fabric Data Factory. It makes data workflows easier and helps you make quick decisions. With AI, you can automate many tasks. This lets you work on important projects instead of doing the same things over and over.
Intelligent Automation
AI automation in Fabric Data Factory brings together all data sources from different platforms. This connection makes sure your data is consistent and easy to access. Here are some main benefits of using AI for automation:
Unify All Data Sources Across Platforms: Combines every data source for consistency and easy access.
Unlock Precise Insights with Context-Aware AI: Provides accurate insights for better decisions using combined data.
Enable Scalable, Real-Time Decision-Making: Helps you make quick, data-driven decisions automatically.
Effortlessly Scale AI and Analytics Operations: Grows capabilities without needing complex changes.
These features help you automate workflows well. This leads to faster data processing and better efficiency in operations.
User Experience Improvements
Using AI in Fabric Data Factory greatly improves how users experience the platform. It makes it easier to start data integration projects and speeds up how quickly you see results. Here are some key improvements thanks to AI:
AI also helps technical and business teams work together better. This teamwork makes data management smoother, so everyone can help out effectively. By taking away boring tasks from data engineers, you can focus on more valuable projects that lead to new ideas and growth.
Future Roadmap for Fabric Data Factory
Looking forward to 2025, the Fabric Data Factory will bring many new features. These features will help you manage your data better. They match what is happening in the industry today. This way, you can handle data well in a fast-changing world.
Upcoming Features
The plan for Fabric Data Factory has many updates to improve how it works and how users feel about it. Here are some important features to look out for:
New features for Fabric Git integration
Shortcut transformations (Preview)
Support for new areas in User Data Functions
Service Principal Name (SPN) support for User data functions
SPN support for the Livy API
Private libraries support for User data functions
Copilot in Power BI now works with Fabric data agents
Integration of Fabric Data Agent with Microsoft Copilot Studio (Preview)
Warehouse Snapshots (Preview)
These features will help you make your data workflows smoother and improve how well your operations run. Adding Master Data Management (MDM) features is a big step forward. This will help you keep your data consistent, improve its quality, and make workflows easier, which is key for speeding up AI and analytics projects.
Integration with Power BI
Connecting Fabric Data Factory with Power BI will greatly improve your analytics and reporting skills. This mix lets you use the best parts of both platforms for better data insights. Here are some benefits you can expect:
Deeper insights: Merging Fabric’s data management with Power BI’s visualization tools helps you analyze different data sources for useful insights.
Streamlined workflows: Centralized data management makes it easier and faster to handle large datasets.
Real-time analytics: Access to real-time data helps you make quick decisions and react fast to market changes.
Scalability and flexibility: The integration supports your growing data needs and changing business goals.
Centralized governance: Keeps data secure and follows regulations, reducing risks from data breaches.
The new features in the Fabric Data Factory plan will be very important for your enterprise data strategies. Microsoft Fabric makes data management easier by combining analytics, governance, and integration into one platform. This way, you can adjust your data strategies well in a data-focused world.
As you get ready for these changes, think about matching your data culture goals with your strategy. Talk to stakeholders to learn about current analytics practices and hold workshops to define what you want your data culture to look like in the future. By doing this, you can empower your users and get the most out of the new features coming soon.
In short, Fabric Data Factory has made big improvements that help you manage data better. Here are the main points:
Keeping up with changes in Fabric Data Factory will help your organization in 2025. Features like the VNet Data Gateway and Incremental Refresh for Dataflow Gen2 improve security and efficiency.
To learn more, check out these resources:
Get involved with the platform to enhance your data strategies and move your organization forward.
FAQ
What is Fabric Data Factory?
Fabric Data Factory is a service in the cloud for data integration. It helps you create, schedule, and manage data workflows. You can connect different data sources and automate moving and changing data.
How does AI enhance Fabric Data Factory?
AI makes Fabric Data Factory better by automating workflows and giving smart insights. It helps combine data sources, allowing for quick decision-making. This automation lets you focus on important tasks instead of doing the same things over and over.
What are the key benefits of using Fabric Data Factory?
Using Fabric Data Factory improves how well things work, boosts data quality, and supports advanced analytics. It also has strong security features and helps manage resources without high costs, making it a useful tool for organizations.
How can I stay updated on Fabric Data Factory features?
You can keep up with updates by following Microsoft’s official blog and documentation. Joining community forums and attending webinars also helps you learn about new features and best practices.
Is training available for Fabric Data Factory?
Yes, there are many training resources available. Microsoft offers online courses, tutorials, and documentation. Also, platforms like Pragmatic Works provide on-demand learning to help you learn Fabric Data Factory well.