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A new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.

robece
‎11-25-2024 10:30 AM

Announcing new event categories in Fabric Real-Time Hub

Real-Time Hub enables you to easily discover, manage, and consume data-in-motion from a wide variety of streaming sources. The hub provides a unified space to access and oversee all streams and events within your organization.

We are excited to announce new event categories in Real-Time Hub in public preview.

  • OneLake events: Events produced by actions on files or folders on OneLake, such as file created, deleted, or renamed.
  • Job events: Events produced by actions on Fabric monitor items, such as a job created, succeeded, or failed.
  • Capacity utilization events: Events produced by actions on capacity management and load balancing.

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OneLake events: Real-Time Hub allows you to discover and subscribe to changes in files and folders in OneLake to process data changes in real-time. For example, you can react to changes in files and folders in Lakehouse and use Reflex from Data Activator to set up alerts based on conditions and specify actions to take when the conditions are met.

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Job events: Real-Time Hub allows you to discover and subscribe to changes produced when Fabric runs a job. For example, you can react to changes when refreshing a semantic model, run a scheduled pipeline, or run a notebook just by manually clicking. Each of these activities can generate a corresponding job, which in turn generates a set of corresponding job events.

Job events allow you to monitor the job results in time and set up an alert mechanism in conjunction with data activator. For example, when the scheduler triggers a new job, or a job fails, you can receive an email alert. This way, even if you are not at your computer, you can still get the relevant information.

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What’s next?

There will be many more exciting developments as we continue to innovate and expand the capabilities of Real-Time Intelligence. Learn more about all the features and follow a step-by-step tutorial. Join the conversation and vote for your favorite features.

Over the next month we’ll be releasing a series of blog posts that dive into all the capabilities further. Stay tuned for more!

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