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Databricks ❤️ Hugging Face

Generative AI has been taking the world by storm. As the data and AI company, we have been on this journey with the...

Announcing the General Availability of Predictive I/O for Reads

Today, we are excited to announce the general availability of Predictive I/O for Databricks SQL (DB SQL) : a machine learning powered feature...

Announcing the Public Preview of Predictive I/O for Updates

Previously, we’ve shown you how a new technology called Predictive I/O could improve selective reads by up to 35x for CDW customers without...

Improving Public Sector Decision Making With Simple, Automated Record Linking

What is data linking and why does it matter? Availability of more, high quality data is a critical enabler for better decision making...

Processing data simultaneously from multiple streaming platforms using Delta Live Tables

One of the major imperatives of organizations today is to enable decision making at the speed of business. Business teams and autonomous decisioning...

Anomaly Detection to Prevent Energy Loss

April 24, 2023 by Ashley Johnson and David Radford in
Energy loss in the utility space is primarily broken down into two categories: fraud and leakage. Fraud (or energy theft) is malicious and...

Launching a New Files Experience for the Databricks Workspace

Today, we are excited to announce the general availability of files throughout the Databricks workspace. Files support allows Databricks users to store Python...

YipitData leverages Databricks Unity Catalog to Scale Data Services

April 21, 2023 by Anup Segu in
This blog is authored by Anup Segu, Co-Head of Data Engineering at YipitData YipitData provides daily market insights to its clients by analyzing...

Three simple lessons that will catapult financial services into its golden age

Register now for the virtual replay Imagine a retail bank funding home loans in minutes. Or an insurer underwriting with 200 billion parameters...

PyTorch on Databricks - Introducing the Spark PyTorch Distributor

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because...