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Accelerating Business With Data, Analytics and AI: Announcing the Finalists for the 2023 Databricks Data Team Disruptor Award

June 16, 2023 by Sheridan McDonald in
The annual Data Team Awards showcase how different enterprise data teams are delivering solutions to some of the world’s toughest problems. Nearly 300...

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...

How Collective Health uses Delta Live Tables and Structured Streaming for Data Integration

April 13, 2023 by Mragesh Khandelwal and Mahmoud Saleh in
Collective Health is not an insurance company. We're a technology company that's fundamentally making health insurance work better for everyone— starting with the...

Barracuda Networks uses ML on Databricks to prevent email phishing attacks at scale

March 21, 2023 by Mohamed Afifi Ibrahim in
This blog is authored by Mohamed Afifi Ibrahim, Principal Machine Learning Engineer at Barracuda Networks. 74% of organizations globally have fallen victim to...

Using Abandoned Cropland for Carbon Sequestration: a Data-driven Approach

January 31, 2023 by Sam Raymond and Prof. Cesar Terrer in
This is a collaborative post from Databricks and MIT. We thank Cesar Terrer, Assistant Professor at MIT, Civil and Environmental Engineering Department (CEE)...

How Corning Built End-to-end ML on Databricks Lakehouse Platform

January 5, 2023 by Denis Kamotsky in
“This blog is authored by Denis Kamotsky, Principal Software Engineer at Corning” Corning has been one of the world’s leading innovators in materials...

How Databricks Powers Stantec's Flood Predictor Engine

This is a collaborative post between Stantec and Databricks. We thank ML Operations Lead Assaad Mrad, Ph.D. and Data Scientist Jared Van Blitterswyk...

MLOps at Walgreens Boots Alliance With Databricks Lakehouse Platform

December 4, 2022 by Yinxi Zhang, Feifei Wang and Peter Halliday in
Standardizing ML Practices on the Lakehouse: Introducing Walgreens MLOps Accelerator In this blog, we introduce the growing importance of MLOps and the MLOps...

How Thasos Optimized and Scaled Geospatial Workloads with Mosaic on Databricks

October 11, 2022 by Krishanu Nandy and Zachary Warren in
This is a collaborative post from Databricks and Thasos. We thank Zachary Warren (Lead Data Engineer) of Thasos for his contributions. Customer Insights...

How DuPont achieved 11x latency reduction and 4x cost reduction with Photon

This is a collaborative post from Databricks and DuPont. We thank Basant Aggarwal (Lead Enterprise Architect), Romain Fardel (Senior Data Scientist), and John...