Feature Sharing and Discovery Using the Databricks Feature Store
Free Download Feature Sharing and Discovery Using the Databricks Feature Store
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Feature Sharing and Discovery Using the Databricks Feature Store, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 8/2026
By Yasir Khan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 13m 12s | Size: 179.4 MB
Machine learning teams often struggle to share, govern, and reuse features across projects, leading to duplicated work, inconsistent data between training and serving, and a lack of visibility into how features are created and used.
Machine learning teams often struggle to share, govern, and reuse features across projects, leading to duplicated work, inconsistent data between training and serving, and a lack of visibility into how features are created and used.
In this course, Feature Sharing and Discovery Using the Databricks Feature Store, you'll gain the ability to build, manage, and serve reusable machine learning features using Unity Catalog and the Databricks Feature Store.
First, you'll explore how to create, organize, and discover feature tables with governance and lineage.
Next, you'll discover how to build training datasets using feature lookups while ensuring point-in-time correctness and reproducibility.
Finally, you'll learn how to publish features to online stores and enable automatic feature lookup for low-latency model serving.
When you're finished with this course, you'll have the skills and knowledge needed to build scalable, governed feature engineering workflows that support consistent training and real-time inference.
Homepage
https://app.pluralsight.com/ilx/video-courses/databricks-feature-store-sharing-discovery/course-overview
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