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The Delta Between ML Today and Efficient ML Tomorrow

Delta Lake and MLflow both come up frequently in conversation but often as two entirely separate products. This blog will focus on the...

Monitoring ML Models With Model Assertions

This is a guest post from the Stanford University Computer Science Department. We thank Daniel Kang, Deepti Raghavan and Peter Bailis of Stanford...

Improving Patient Insights With Textual ETL in the Lakehouse Paradigm

This is a collaborative post from Databricks and Forest Rim Technology . We thank Bill Inmon, Founder and CEO, and Mary Levins, Chief...

Top Considerations When Migrating Off of Hadoop

July 22, 2021 by Manveer Sahota and Ron Guerrero in
Apache Hadoop was created more than 15 years ago as an open source, distributed storage and compute platform designed for large data sets...

The Three Things CXOs Prioritize in Their Data and AI Strategy

Leveraging data (internal and external) and customer analytics to innovate and create competitive advantages is more powerful than it has ever been. This...

Unlocking the Power of Health Data With a Modern Data Lakehouse

A single patient produces approximately 80 megabytes of medical data every year. Multiply that across thousands of patients over their lifetime, and you're...

AML Solutions at Scale Using Databricks Lakehouse Platform

Anti-Money Laundering (AML) compliance has been undoubtedly one of the top agenda items for regulators providing oversight of financial institutions across the globe...

Feature Engineering at Scale

July 16, 2021 by Li Yu and Daniel Tomes in
Feature engineering is one of the most important and time-consuming steps of the machine learning process. Data scientists and analysts often find themselves...

Driving Transformation at Northwestern Mutual (Insights Platform) by Moving Towards a Scalable, Open Lakehouse Architecture

July 15, 2021 by Madhu Kotian in
This is a guest authored post by Madhu Kotian, Vice President of Engineering (Investment Products Data, CRM, Apps and Reporting) at Northwestern Mutual...

How Databricks’ Data Team Built a Lakehouse Across 3 Clouds and 50+ Regions

July 14, 2021 by Jason Pohl and Suraj Acharya in
The internal logging infrastructure at Databricks has evolved over the years and we have learned a few lessons along the way about how...