Databricks Notebook Dark Theme
This became the most-requested feature in Databricks' history, and now it's here: a dark theme for the Databricks notebook! We're excited for you...
Creating Growth and Advancement Opportunities: Introducing the Women in Tech Mentorship Program
At Databricks, we recognize the importance of offering professional growth and advancement opportunities for all communities and are committed to fostering a work...
It’s Time to Re-evaluate Your Relationship With Hadoop
With companies forced to adapt to a remote, distributed workforce this past year, cloud adoption has accelerated at an unprecedented pace by +14%...
Simplifying Data and ML Job Construction With a Streamlined UI
Databricks Jobs make it simple to run notebooks, Jars and Python eggs on a schedule. Our customers use Jobs to extract and transform...
Introducing Databricks on Google Cloud - Now in Public Preview
Last month, we announced Databricks on Google Cloud , a jointly-developed service that allows data teams (data engineering, data science, analytics, and ML...
Tensor Input Now Supported in MLflow
Traditionally, generic MLflow Python models only supported DataFrame input and output. While DataFrames are a convenient interface when dealing with classical models built...
Winning With Data + AI: Meet the Databricks 30 Index
Companies that are disrupting entire industries, such as Uber and Airbnb, have a common driver in their competitive edge: data and AI. For...
Advertising Fraud Detection at Scale at T-Mobile
This is a guest authored post by Data Scientist Eric Yatskowitz and Data Engineer Phan Chuong, T-Mobile Marketing Solutions. The world of online...
Segmentation in the Age of Personalization
Quick link to notebooks referenced through this post. Personalization is heralded as the gold standard of customer engagement. Organizations successfully personalizing their digital...
Productionize Data Science With Repos on Databricks
Most data science solutions make data teams choose between flexibility for exploration and rigidity for production. As a result, data scientists often need...