május 14, 2024 Készítette Nimrod Shalit108 170 Nézetek
We are happy to share that new items are available to use in CI/CD. You can also build a full E2E automated CI/CD with Fabric APIs. Click to read more, and learn about additional announcements.
Earlier this year, we hosted our first-ever Microsoft Fabric Community Conference in Las Vegas, and the response blew us away! Read about the event here. Over 4,200 attendees engaged with experts from engineering, our customers and our community to learn, engage and get hands-on experience with Fabric. We presented, demoed and discussed data warehousing, data movement, …
Continue reading “Announcing Microsoft Fabric Community Conference Europe”
május 7, 2024 Készítette Sruly Taber106 300 Nézetek
These days every company is a data company. More specifically, every company has data that can provide added value to someone else. And even more to the point, data sharing has become a common and essential practice for many organizations. Whether it is sharing data with suppliers, customers, partners, or consultants, data sharing enables better …
Continue reading “Introducing external data sharing: a new way to collaborate across Fabric tenants”
április 23, 2024 Készítette Misha Desai156 544 Nézetek
At the recent Fabric Conference, we announced that both code-first automated machine learning (AutoML) and hyperparameter tuning are now in Public Preview, a key step in making machine learning more complete and widely accessible in the Fabric Data Science. Our system seamlessly integrates the open-source Fast Library for Automated Machine Learning & Tuning (FLAML), offering …
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We are excited to announce a new feature which has been a long ask from Synapse Spark customers, Optimistic Job Admission for Spark in Microsoft Fabric.This feature brings in more flexibility to optimize for concurrency usage (in some cases ~12X increase) and prevents job starvation. This job admission approach aims to reduce the frequency of …
Continue reading “Introducing Optimistic Job Admission for Fabric Spark”