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It has always been a challenge to ingest compressed files at scale. Zipfiles are infamously “unsplittable”; however, we will show this simply isn’t true. Ingest your archive of zipfiles at scale now with a user-defined Python Data Source.
Discover how Agent Learning from Human Feedback (ALHF) powers Databricks Agent Bricks, enabling AI agents like Knowledge Assistant to adapt to expert expectations with minimal natural language feedback—boosting response quality and enterprise readiness.
Discover what’s new in Azure Databricks, from AI/BI Genie and Databricks One to Lakeflow, Iceberg support, and Azure Databricks mirrored catalog -- designed to simplify governance and accelerate AI on an open, secure platform with native Azure integration.
The convergence of Operational Technology (OT) and Information Technology (IT) infused with Data Intelligence represents one of the most significant opportunities for industrial organizations to gain a competitive edge. This blog explores how to unify industrial OT data with enterprise IT data to create intelligence across the entire industrial value chain.
Washington University School of Medicine has partnered with Databricks and Databasin to build a modern, AI-ready data infrastructure. Learn about the transformative work they’re doing with data intelligence.
AI is transforming financial services, with firms rapidly adopting new technologies to boost revenue, manage risk, and streamline operations. At Data + AI Summit 2025, industry leaders explored how Databricks innovations are turning data-driven ambition into practical results—especially in banking, insurance, and capital markets. The firms moving fastest on end-to-end AI and data strategies are already setting the pace for the future.
Ingesting healthcare claims data is a challenge to process at scale. Databricks has developed an open source code repository, x12-edi-parser, also called EDI Ember, to accelerate value and time to insight by parsing your EDI data using Spark workflows. Learn more about how to get started today.
An in-depth look at how the DAXS methodology leverages scalable, explainable anomaly detection for predictive maintenance in manufacturing, using Databricks to manage massive sensor data and boost operational efficiency.
For organizations ready to unlock the full potential of a comprehensive, end-to-end Provider MDM solution, LakeFusion MDM, natively built on the Databricks, offers the capabilities needed to master provider data at scale, drive operational excellence, and enable advanced analytics.