What’s New with Databricks Notebooks
Databricks Notebooks offers developers a managed authoring experience where data and AI teams can efficiently collaborate on projects together. The team here is...
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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...
Reduce Overhead and Get Straight to Work With Personal Compute in Databricks
The Databricks Lakehouse enables organizations to use a single, unified platform for all their data, analytics, and AI workloads. These projects often start...
Previewing Updates to the Databricks Notebook
At Databricks, we are committed to delivering a world-class, data-driven development experience in the Notebook, and we are very excited to preview the...
Low-Code Exploratory Data Analysis with Bamboolib in Databricks
We are very excited to announce that the public preview of bamboolib in the Databricks Notebook begins today! It is available with the...
Databricks and Jupyter: Announcing ipywidgets in the Databricks Notebook
Today, we are excited to announce a deeper integration between the Databricks Notebook and the ecosystem established by Project Jupyter, a leader in...
Software Engineering Best Practices With Databricks Notebooks
Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive...
What's New With Databricks Notebooks at the Data & AI Summit
At Databricks, we are continually evolving the development experience to accelerate the path from data to insights. Today we’re excited to announce further...
Introducing Data Profiles in the Databricks Notebook
Before a data scientist can write a report on analytics or train a machine learning (ML) model, they need to understand the shape...
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...