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How Providence Health Built a Model marketplace using Databricks?

Providence's MLOps Platform Providence is a healthcare organization with 120,000 caregivers serving over 50 hospitals and 1,000 clinics across seven states. Providence is...

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Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of...

Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations.

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Introducing Predictive Optimization: Faster Queries, Cheaper Storage, No Sweat

Predictive Optimization intelligently optimizes your Lakehouse table data layouts for peak performance and cost-efficiency - without you needing to lift a finger.

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Bringing Software Engineering Best Practices to Life Sciences R&D at Exai Bio

This blog was written in collaboration with Sukh Sekhon, Software Engineer, Cloud Infrastructure and Helen Li, Sr. Director of Engineering at Exai Bio...

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Training LLMs at Scale with AMD MI250 GPUs

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and...

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Big Book of MLOps Updated for Generative AI

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since...

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Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM...

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of...

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To Tailgate or Not? How Databricks + AccuWeather used ML to answer every...

Whether you’re an NFL fanatic, an alumnus rooting for your alma mater or a super fan just trying to catch a glimpse of T...

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Secure your workspaces with new platform security controls for Databricks on...

We are excited to announce the general availability (GA) of several key security features for Databricks on Google Cloud: Private connectivity with Private...

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Announcing GA of Predictive I/O for Updates: Faster DML Queries, Right Out of...

Announcing GA of Predictive I/O for Updates, which harnesses Photon and AI atop Deletion Vectors in order to significantly speed up MERGE, UPDATE and DELETE operations. We've prevented over 15...

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How to upgrade your Hive tables to Unity Catalog

In this blog we will demonstrate with examples, how you can seamlessly upgrade your Hive metastore (HMS)* tables to Unity Catalog (UC) using...

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How Lakehouse AI improves model accuracy with real-time computations

The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the...

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Cybersecurity Lakehouse Best Practices Part 1: Event Timestamp Extraction

In this four-part blog series "Lessons learned from building Cybersecurity Lakehouses," we will discuss a number of challenges organizations face with data engineering...

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Databricks + Arcion: Real-time enterprise data replication to the Lakehouse

We are excited to announce that we have completed our acquisition of Arcion, a leading provider for real-time data replication technologies. Arcion’s capabilities w...

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Arrow-optimized Python UDFs in Apache Spark™ 3.5

In Apache Spark™, Python User-Defined Functions (UDFs) are among the most popular features. They empower users to craft custom code tailored to their u...

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Modernizing Prior Authorization with Advanced Analytics

This blog was written in collaboration with Dan Newingham, Solution Delivery Manager, ZS and Aaron Zavora, Technical Director, HLS, Databricks Mandates for electronic...

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Introducing Python User-Defined Table Functions (UDTFs)

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p...

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Supply Chain Disruption and ESG Risk Management Powered by Bloomberg Data in...

This blog is the first of a series of blog posts highlighting industry-leading data providers on Databricks Marketplace. Special thanks to our Bloomberg...

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Cybersecurity Lakehouses Part 2: Handling Ingestion Delays

In this four-part blog series “Lessons learned building Cybersecurity Lakehouses,” we are discussing a number of challenges organizations face with data engineering when bui...

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Built-In Governance for Your Databricks Workspace

Databricks Unity Catalog simplifies data and AI governance by providing a unified solution for organizations to securely discover, access, monitor, and collaborate on...

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